Technical Data Analyst Resume Samples

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LW
L Wisozk
Layla
Wisozk
209 Dale Bridge
Detroit
MI
+1 (555) 131 9187
209 Dale Bridge
Detroit
MI
Phone
p +1 (555) 131 9187
Experience Experience
Boston, MA
Technical Data Analyst
Boston, MA
Wilderman, Howe and Witting
Boston, MA
Technical Data Analyst
  • Identify, develop and execute data analyses to monitor operational performance, defects, and customer trends to uncover areas of opportunity
  • Participate in developing and implementation of new processes and tools to streamline workflow
  • Assist in developing strategies for standardizing and consolidating processes used by the Compliance Data team
  • Create robust applications using Java, Visual Basic and .NET to perform data manipulation using ADO.NET or JDBC
  • Work as a data scientist and business analyst to resolve data quality issues to deliver management information capabilite3s to front office users
  • Manage competing priorities, multiple work streams, meet deadlines
  • Created and executed Test Plan and Test Cases
Houston, TX
Senior Technical Data Analyst
Houston, TX
Brekke, Hoeger and Lemke
Houston, TX
Senior Technical Data Analyst
  • Support A/B testing by designing robust experiments, analyzing results, and communicating insights to business stakeholders
  • Assess the methodological and functional pros and cons of implementing third-party products versus building an in-house system when facing a business problem
  • Analyze and validate data using statistical tools to answer product and business questions, to drive product and marketing actions
  • Management of incoming vendor feeds and internal sources of core party data highlighting exceptions and application of these to core party repositories
  • Deliver key metrics, reports, dashboards and ad-hoc analyses with interpretation, contributing to the development of hypotheses and actions
  • Help strategically coordinate new external products and internal platforms and ingest associated data to be used in conjunction with existing data sets
  • Partner closely with analysts, data scientists, data engineers, care professionals, and PMs to develop solutions to support care operations and reporting
present
Phoenix, AZ
Mortgage IT Senior Technical Data Analyst
Phoenix, AZ
Lindgren Group
present
Phoenix, AZ
Mortgage IT Senior Technical Data Analyst
present
  • Works with leaders and developers to implement approved designs
  • Understands and familiar with relational data model constructs – transactional models, reporting, and/or analytic data models and the supporting query languages
  • Supports development team to quickly triage and resolve production issues, especially data related
  • Prepares documentation for internal programs, includes creating training programs and documentation to be used to launch new file interfaces, data models, or features across the organization
  • Prepares documentation for external customers, includes quick reference guides, user / help documentation, training programs, etc
  • Assists in improving ETL, DQ, or data modeling software development practices
  • Promotes our culture by living-out the cultural pillars (People, Integrity, Partnership, Teamwork, and Fun) on a daily basis
Education Education
Bachelor’s Degree in Science
Bachelor’s Degree in Science
University of Oregon
Bachelor’s Degree in Science
Skills Skills
  • Excellent problem solving skills and ability to use good judgment to make recommendations and decisions
  • Strong data visualisation skills, with Tableau experience desirable
  • Proficient in MS Office, with strong excel skills in particular (lookups, macro’s, etc.)
  • Strong organizational skills and detailed oriented
  • Knowledge of statistical analysis (including time-series, sampling, probability, regression, linear programming and forecasting) is desired
  • Proficiency in Power BI and advanced Excel functions (e.g., creating formulas, pivot tables)
  • Self-motivated, agile, excellent collaborative skills and ability to influence diverse audiences
  • Strong International skills - able to interact with employees in different countries
  • Good working knowledge of relational databases
  • Highly self-motivated, with the ability to work independently as well as in a team environment
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15 Technical Data Analyst resume templates

1

Technical Data Analyst Resume Examples & Samples

  • Asks questions to gain clarity
  • Ensures regular, consistent communication takes place with key stakeholders
  • Proactively delivers key messages to ensure the circulation of up-to-date data
  • Ability to communicate a clear message to all levels, both orally and in writing
  • Has the capacity to articulate a problem concisely to non-experts
  • Creates a shared understanding of the data
  • Database knowledge with minimum SQL and big data preferred but not essential
  • Excellent PC skills for data manipulation and analysis - MS Office, MS Access, SQL RDBMS, query building and general programming
2

Am-technical Data Analyst Resume Examples & Samples

  • Data analysis including the collection of data from various sources, synthesizing the information, performing analysis, and interpreting results
  • Present findings and recommendations in a business-friendly way that identifies issues, explains causes, details business / client impact, and build a business case and consensus for change
  • Assisting in the design and implementation of solutions including introduction of reports and other data quality tools to identify and resolve issues
  • Provide implementation support including testing of new tools / processes to ensure they meet the requirements of GWM businesses
  • Project planning and management including detailed project plans, documenting scope and business requirements, detailing issues & problems; collecting examples; drafting business and technical work / data flows
  • Advanced SQL, Microsoft Access, Excel, , PowerPoint, SharePoint and Visio skills are required
  • Ability to quickly become familiar with new tools (e.g., Business Objects) and systems (e.g., Client Central, Customer Assist, etc.)
  • Proficient in Data Visualization tools like QlikView, Spotfire or Tableau
  • Attention to detail and ability to assimilate fragmented facts into a detailed problem statement
  • Requires the ability work independently with minimal supervision and the ability to work as a part of a team
  • Knowledge of Workstation and SAS will be an added advantage
3

Technical Data Analyst Resume Examples & Samples

  • Prepare service recovery files obtained from various sources following the established finance calendar
  • Provide recoveries analysis and reporting as required from time to time
  • Develop the Service Demand Planning template used for forecasting and budgeting pruposes
  • Performs User Acceptance Testing (UAT) on related system enhancements and implementations
  • Ensure high standards of controllership and timely delivery of work
  • Act as a back-up for our System and Recoveries team in performing administration-related functions
4

Technical Data Analyst Resume Examples & Samples

  • Create, maintain and troubleshoot existing programs built in MS Access with Visual Basic
  • Create robust applications using Java, Visual Basic and .NET to perform data manipulation using ADO.NET or JDBC
  • Assist in developing strategies for standardizing and consolidating processes used by the Compliance Data team
  • Assist with technical tasks required in watch list data support for clients, partners and sales
  • Create requirement, specification, design and architecture documents for projects
  • Bachelor’s Degree or equivalent (Computer Science or similar major or comparable work experience)
  • Extensive experience with MS Access, VBA, and Reports
  • Experience in performing analytics on data using databases and spreadsheet programs
  • Analytical minded with strong problem solving skills
  • Ability to learn new technologies quickly
  • Able to independently make decisions and handle multiple tasks simultaneously
  • Self-motivated, reliable and able to work independently as well as in a team
  • Experience with ETL tools
  • Experience with one or more of the following: Java, Visual Basic, .NET, ADO.NET, SQL Server, Oracle, PLSQL
  • Data Quality Assurance experience a plus
  • Experience with Scrum/Agile software development methodology
5

Senior Technical Data Analyst Resume Examples & Samples

  • Design, execution, and ongoing support of complex data queries, reconciliations, transformations, and analysis across the client/party data domain, encompassing all Capital Markets systems holding a representation of counterparty data
  • Participation of both strategic and tactical project workstreams to improve party data quality, meet business, regulatory, or tax requirements, and delivery of the target operating model for party data
  • Manage requests from multiple consumers across DMO, the broader Capital Markets division, and business management
  • Gain a thorough understanding of overall implications of maintaining data in both upstream and downstream systems
  • Use appropriate tools, exception management processes, and user training, to champion accurate set up of all new CDR records in line with CDR standards
  • Management of incoming vendor feeds and internal sources of core party data highlighting exceptions and application of these to core party repositories
  • Act as a subject matter expert on Data Management projects and work with Data Management Project teams to understand implications of proposed changes to current processes
  • Excellent team working capabilities and an ability to network to build strong business and team relationships
  • Ensure escalation of any issues that can impact the budget or deadline
  • Comprehensive knowledge of the role of party repositories and interaction with trading and settlement systems
  • Good understanding and previous experience of working with multiple data vendor sources
6

Technical / Data Analyst Resume Examples & Samples

  • Understanding business requirements and creating functional and technical specifications
  • Locating sources and data elements required for business event identification and journal entry creation
  • Preparing technical data mapping documents from source files/tables to target
  • Drafting test cases for unit testing as well as integration testing and UAT
  • Working closely with Project Manager, Business Analysts, and Developers across a global team
  • Bachelor�s degree
  • 5+ years of relevant work experience in Finance
  • Understanding of SDLC best practices
  • Experience writing BRDs, FSDs and technical specifications
  • Strong knowledge of Finance and Accounting
  • Strong Excel skills for data analysis and reconciliation
  • Experienced in writing SQL queries for data inspection and analysis (Oracle preferred)
  • Knowledge of domestic and international Equities, ETFs, Listed Options, Convertible Bonds, and domestic and international Stock Borrow/Loan
  • Understanding of trade lifecycle and relationship to accounting events
  • Experience with GL systems and related processes including journal creation (PeopleSoft GL is a plus)
  • Knowledge of Broadridge BPS platform is highly desirable
  • Knowledge of XML
7

Technical Data Analyst Resume Examples & Samples

  • Taking an active role in preparation of pitch book and other marketing materials for potential clients
  • Working with databases (both internal and external) to extract the data which will be the most valuable for investors
  • Ensuring data consistency and accuracy
  • Preparing ad-hoc reports using data from various sources
  • Driving process improvements
8

Technical Data Analyst Resume Examples & Samples

  • Drive key discussions with core partner teams
  • Build and maintain Learning Plans with key analytical questions
  • Build a holistic understanding of our product features, its customer, BI data environment, and business goals
  • Develop powerful visualization on customer behavior and usage and become SMEs for the product(s)
  • Analyze and validate data using statistical tools to answer product and business questions, to drive product and marketing actions
  • Interface with business users and engineering teams to bridge the gap in terms of data needs and business term/logic understanding
  • Unique mix of technical, development, project and program management skills with strong business acumen
  • Self-motivated, agile, excellent collaborative skills and driven to think out-of-the-box
  • Platform architecture & design, establishing best practices and implementing monitoring for SLAs, DQ, designing complex end-to-end ETL, implementing Automation, and exploring new tools and technology
  • Expertise in database technology with solid understanding and hands-on skills with SQL Server, SSIS, solid understanding of SSAS / n-dimensional cubes, SQL architecture & design, Power BI: DAX formulae and tabular cubes, performance efficiency
  • Ability to translate business and product questions into analyses projects and create insights driven visualization
  • Experience in analyzing big data using statistical tools such as SQL, C# and statisticsExperience with unstructured datasets (Hadoop and/or Cosmos)
  • Proficiency in advanced Excel functions (e.g., creating formulas, pivot tables) and PowerBI
  • 5-8+ years relevant experience; College degree required, MS/MBA preferred
9

Mortgage IT Senior Technical Data Analyst Resume Examples & Samples

  • Develops high level data management use case scenarios and/or detailed data flows to effectively communicate design ideas and interactions based on product and business/system requirements
  • Writes clear, concise, thorough data transformation requirements in support of new functions, Data Quality improvement efforts, and data replication functions supporting reporting/analytic or data sharing functions
  • Understands and familiar with relational data model constructs – transactional models, reporting, and/or analytic data models and the supporting query languages
  • Works with development team to manage implementation of proposals from data management requirements sign-off through Development & QA cycles to production
  • Supports development team to quickly triage and resolve production issues, especially data related
  • Advocates Data Quality and transformation logic standards and easily maintainable designs in all areas
  • Works directly with end consumers of generated export files, reports, or analytic output to define requirements, test completed products, perform user acceptance testing (UAT), and coordinate beta program for designated projects
  • Supports and helps align testing on all assigned data management projects to ensure that finished product meets all of the requirements outlined during design phase
  • Prepares documentation for internal programs, includes creating training programs and documentation to be used to launch new file interfaces, data models, or features across the organization
  • Prepares documentation for external customers, includes quick reference guides, user / help documentation, training programs, etc
  • Collaborates with other Technical Data Analysts in requirements, gathering, and other techniques, providing mentorship where applicable
  • Assists in improving ETL, DQ, or data modeling software development practices
10

Senior Technical Data Analyst Resume Examples & Samples

  • Build a holistic understanding of our product features, its customer, the BI data infrastructure & environment, and business goals
  • Build and maintain learning plans for the product(s) with key analytical questions
  • Unique mix of technical, development, project and program management skills
  • Expertise in database technology with solid understanding and hands-on skills with SQL Server, SSIS, solid understanding of SSAS / n-dimensional cubes
  • Knowledge of SAS, SPSS, Tableau, Adobe Insights or similar analytic software
  • 5+ years relevant experience; College degree required, MSc/MA/MBA preferred
11

Technical Data Analyst Resume Examples & Samples

  • Leverage industry best practices in establishing repeatable BI practices, principles & processes
  • Leverage team members across BI, for data & analysis needs
  • Refine, improve and centralize team capabilities and share to the broader business and analytical community
  • Manage external vendor relationships onshore & offshore, as needed
  • Ability to understand, translate and map business and product questions into analysis projects
  • Solid experience building business intelligence solutions (data warehouse, ETL, Reports, Powerpivots) and ability to understand instrumentation and devise technical solutions
  • Ability to influence diverse audiences and build strong partnerships with stakeholders
  • Strong ability to articulate vision, requirements & benefits, providing a solid rationale to business and technical partners
  • Self-motivated, agile and driven to think out-of-the-box
  • College degree, MSc/MA/MBA preferred or -2-3+years relevant experience
12

Technical Data Analyst Resume Examples & Samples

  • Good working knowledge of database systems, including ability to write SQL
  • Basic procedural programming skills to write and understand batch processes
  • Excellent PC skills for data manipulation and analysis - MS Excel, MS Access with the ability to work with pivot tables, lookups and perform graphical analysis
13

Technical Data Analyst Resume Examples & Samples

  • Perform in-depth data analysis activities and come up with low-level & High level design strategies
  • Develop SQL scripts for various reporting and ad-hoc analysis
  • Collaborate with Data architects and other global team members in data analysis in turn aid to build effective solutions
  • Previous BAC experience, with Commercial / Wholesale credit/ Retail data (WECRIS / Peaks / Everest / IRR/ Alpide), Enterprise Risk, Enterprise Capital Management, is a plus
  • Experience with enterprise provisioning standards, metadata and lineage, process controls and data quality are also beneficial
14

Technical Data Analyst Resume Examples & Samples

  • Translate business requirements into technical specifications
  • Extracting, cleaning, transforming & merging data
  • Creating variables & new datasets
  • Expert in the use of SQL to query / manipulate data across a SQL Server Environment
  • Expert in writing complex SQL queries using complex joins, grouping, aggregation, nested subqueries etc. for use in data analysis & reporting
  • Good working knowledge of relational databases
  • In depth knowledge in working with data warehouses and data sets
  • Advanced Microsoft Excel
  • Bachelor’s degree or equivalent in a relevant field e.g. Computer Science, Mathematics, Statistics
  • Demonstrable experience in roles which had the practice of using SQL for data querying / manipulation as a core competency, ideally gained in large corporate environments
  • Experience in marketing or customer analytics considered a plus
15

Senior Technical Data Analyst Resume Examples & Samples

  • Proactively suggest new processes
  • Propose and lead innovative mathematical approaches for building recommendation systems
  • Collaborate extensively with stakeholders, program management, and software development team members to ensure that solutions meet business needs, permit valid inferences, and have functional feasibility
  • Document the technical details of own work to improve collaboration with other team members
  • Guide and mentor other modelers in best practices regarding methodology; e.g., prototype formulation and testing, data mining and analysis, as well as implementation, e.g., proper documentation, source control, and coding practices
  • Assess the methodological and functional pros and cons of implementing third-party products versus building an in-house system when facing a business problem
  • May mentor others as necessary
  • Develops team standards for gathering and documenting business requirements and designing processes
  • Collaborate with other statisticians and data scientists to formulate innovative solutions
  • Provide an overall framework and tools for synthesizing Expedia data into business understanding which will be used to optimize business performance
  • Research and recommend new technologies,e.g., Hadoop cluster, to improve performance and overall adoption Interface with Expedia
  • Identify new opportunities where statistical analysis can create value and drive new projects that help realize that value
  • Identify high value use cases and build partnerships with business owners that would benefit from this service
16

Technical & Data Analyst, Senior Resume Examples & Samples

  • 7+ years of experience as a data analyst
  • 5+ years of experience in the IC
  • 2+ years of experience with supporting customer operations
  • Experience with at least one of the areas of analysis, including ELINT, Imagery, Network and Protocol, Big Data, or Targeting
  • BA or BS degree in Science, Technology, Engineering, or Mathematics
  • 10+ years of experience in the IC
  • Experience with multiple areas of analysis, including ELINT, Imagery, Network and Protocol, Big Data, or Targeting preferred
  • Experience with multi-INT analysis preferred
  • Experience with GEOINT systems, including EO, SAR, and IR system capabilities preferred
  • MA or MS degree in Science, Technology, Engineering, or Mathematics preferred
17

Technical Data Analyst Resume Examples & Samples

  • Develop powerful visualization on customer behavior and usage and become SMEs for the product(s)/ feature(s)
  • Analyze trends, validate data, create metrics, align definitions and build data pipelines
  • Drive key discussions with core partner teams to as to answer product and business questions, and drive product/ marketing actions
  • Self-motivated, agile, excellent collaborative skills and ability to influence diverse audiences
  • Proficiency in Power BI and advanced Excel functions (e.g., creating formulas, pivot tables)
  • Experience in analyzing big data using tools such as SQL, C# and statistics
  • Experience with unstructured datasets (Hadoop and/or Cosmos)
18

Technical & Data Analyst, Lead Resume Examples & Samples

  • Experience with at least one of the areas of analysis: ELINT, Imagery, Network and Protocol, Big Data, or Targeting
  • 5+ years of experience with supporting customer operations
  • Experience with network-based communications systems preferred
19

Technical Data Analyst Resume Examples & Samples

  • Accountable for overseeing the processing and shipment of high quality fulfillment deliverables and providing superior customer service while working in a collaborative team environment
  • Drives execution across the project lifecycle of customer solutions with the goal of ensuring 100% accuracy and the on time delivery of data back to the customer
  • Responsible for analyzing and understanding customer specifications in order to design and implement the most efficient data processing based on system capabilities
  • Desirable: Experience working with data dictionaries, layouts and data formats
  • Required: Proficient with Microsoft Office applications, including Outlook, Word, and PowerPoint. Advanced knowledge with Microsoft Excel and Visio
  • Required: Knowledge of File manipulation and working with multiple file types (.txt, .dat, .csv, etc.) and file formats (fixed block and variable block)
  • Desirable: Knowledge in File Transfer Methodologies (FTP, SFTP protocols)
  • Desirable: Knowledge of database tables
  • Desirable: Knowledge of applications such as Siebel, SharePoint, Jira and/or Rally
20

Technical Data Analyst Resume Examples & Samples

  • Participate in development and implementation of appropriate methods for storing, monitoring, analyzing, and preparing data for management reports and statistics
  • Integrate information from various environments and develop queries or reporting solutions to fulfill business needs. Recognize data anomalies to analyze and troubleshoot to determine cause
  • Utilize thorough knowledge of table structure and reporting environments to gather data to report metrics. Generate effective reports and manipulate data in reports to provide key metrics develop KPIs for business operations
  • Solve problems with attention to detail, validate results and ensure accuracy through quality checks
  • Participate in developing and implementation of new processes and tools to streamline workflow
  • Document and communicate technical data requirements for development of system queries and reports to support ongoing operations and provide related root cause analysis
  • Develop VBA, Javascript, XML, C#, PL/SQL, R, and Python experience for application development, maintenance, reporting, and analytics as well as workflow applications are preferred
  • Follow QA testing procedures throughout the life-cycle of the applications
  • Availability for remote support when required
  • Train personnel on how to use systems and tools
  • Ability to develop recommendations/action plans and manage multiple projects simultaneously
  • Clearly communicates complex technical concepts both in a written and oral manner
  • Excellent problem solving skills and ability to use good judgment to make recommendations and decisions
  • Ability to import, export, and manipulate data files between various IT applications and databases (e.g., Oracle, SAP, Salesforce) is preferred
  • Excellent personal computer skills within a Windows environment demonstrating advanced working knowledge of Microsoft Office applications. (Word, Excel, Access)
  • Knowledge of statistical analysis (including time-series, sampling, probability, regression, linear programming and forecasting) is desired
  • Provide accurate data and analysis to influence decision-making to ensure business meets financial and operational objectives
  • Ability to develop and make formal presentations to internal and external groups
21

Technical Data Analyst Resume Examples & Samples

  • Familiarity with Navy shipboard systems and equipment
  • Prior Navy military experience as shipboard maintenance technician, either HM&E or CS/C4I/electronics
  • Good interpersonal skills with the ability to work effectively individually and in a team environment
  • Experience with Navy Shipbuilding Program support and/or Integrated Logistics Support
  • Bachelor’s degree in Business, Information Management or equivalent experience
22

Technical Data Analyst, Junior Resume Examples & Samples

  • 2+ years of experience as a maintenance technician, including HM&E or CS and C4I electronics
  • Ability to apply analytical expertise and proficiency in Microsoft Office, including Word, Excel, and PowerPoint
  • Ability to obtain a security clearance required
  • Experience with Navy shipbuilding program support or integrated logistics support preferred
  • Possession of excellent interpersonal skills
  • Active Secret clearance preferred
  • BA or BS degree in Business or Information Management
23

Technical Data Analyst Resume Examples & Samples

  • Manage data acquisition efforts by communicating with stakeholders and manufacturers to secure new data sources, maintain relationships with data vendors, and ensure the data is submitted to us in our standard format
  • Obtain data from manufacturer web sites either manually or using data scraping tools as needed
  • Work with business to prioritize data uploads based on client, vendor, and company demand
  • Correct any data errors/issues before the data is loaded into our production environment
  • Load and organize data and maintain existing data, obtaining and adding new information on a set schedule
  • Setup and perform day to day configuration & maintenance of product pricing connections which includes using internal tools to map client provided data to our data and setup of connection access
  • First level support for web site pricing and data related issues
  • Maintenance of documentation and procedures to further define a standardized process that will be followed as the company continues to grow
  • Serves as backup resource for client domain & email management
  • Help manage technical projects from conception through launch
  • Ensure projects are launched through agreed upon schedules
24

Technical Data Analyst Resume Examples & Samples

  • Capable of problem solving: anticipating, and resolving issues
  • Capable of working in a team environment as a role model, supporting management & staff, following policies, providing feedback, and assisting in special projects
  • Able to adapt to change
  • Ability to work independently, create action plans, implement goals and objectives, exercise discretion and judgment
  • Professional manner and appearance
  • Embracing diversity - Working effectively with people who have backgrounds, skills, and attitudes different from their own
  • Strong International skills - able to interact with employees in different countries
  • Capable of thinking innovatively, strategically and conceptually
  • Strong analytical, logic and problem solving kills
  • Capable of identifying customer needs - listening to information, asking probing questions, applying knowledge and associating solutions
25

Technical Data Analyst / Modeler Resume Examples & Samples

  • Conduct data analysis and document data requirements for financial forecasting systems
  • Identify and document data requirements, definitions, data dependencies and relevant business rules
  • Develop data requirements through various methods including individual and group discussions, independent data analysis and by extracting from a suite of mathematical functions and code
  • Conduct quality control assessment on data after it has moved, specifying the underlying reason for any data issues
  • Develop data models, data dictionaries, event models, CRUD matrix, or other artifacts
  • Engage with enterprise data architecture to adhere to corporate data standards
  • Promote productive relationships between stakeholders and technology partners, providing clarity & ensuring processes are streamlined
  • Bachelor Degree in Computer Science, Information Systems, Math, Finance, Economics or related field (masters preferred)
  • 5+ years of financial services data and/or data modeling experience
  • Ability to document highly complex data processes
  • Ability to extract data requirements through various methods including individual and group discussions, independent data analysis and by extracting from a suite of mathematical functions and code
  • Technical Skills
  • O Oracle
  • Big Data (Netezza)
  • Secondary Mortgage experience
26

Technical Data Analyst / Data Modeller Resume Examples & Samples

  • Complex SQL querying
  • Understanding of data modelling principles and data warehouse methodologies (Kimball and Inman)
  • Experience with database design (Conceptual, Logical and Physical Data Models)
  • Implementation of data warehousing and business intelligence platforms
  • Database design
  • Data cleaning techniques and implementation
  • Semantic layer design / logical modelling
  • Working knowledge of Hadoop & MapReduce
  • Experience using other querying languages such as Hive and Pig
  • Programming (e.g. XML, Javascript or ETL frameworks)
  • SAP Business Objects (BOE) v4.x, Webi, CMC
  • Experience working in central data team (relational database concepts, appreciation of strong governance framework)
  • Strong analytic skills with the ability to write quality use cases
  • Experience working in an Agile team
  • Strong problem solving
27

Senior Technical Data Analyst Resume Examples & Samples

  • Partner with analysts to develop data structures, pipelines, and data visualizations that enable us to find insights and take action by working with click data, event data, user provided data, third party data, and more
  • Enable timely reporting and analytics of new product features by ensuring that those features are properly instrumented, building ETL pipelines, and surfacing insights in dashboards
  • Build and maintain pipelines and dashboards used to drive decisions across the Quickbooks Self-Employed business
  • 4+ years of experience in generating and sharing insights from product/marketing data
  • Technical experience including SQL, some form of coding (Python, Scala, etc), and ETL/scheduling such tools as Airflow
  • Experience with data visualization tools such as Tableau, Superset, etc
  • Experience working with SaaS-based subscription metrics including conversion, retention and product usage is preferred
  • Entrepreneurial spirit and passionate about data
  • Undergrad Degree in Quantitative Field (Masters preferred)
28

Senior Technical Data Analyst Resume Examples & Samples

  • Works independently to analyze product features and business rules to be implemented
  • Recommends solutions, industry standards and framework on all aspects of the business rules life cycle
  • Leads teams in complex analytical initiatives combining data from multiple sources to extract meaning, reconcile assumptions, and identify logical path for action
  • Big Data Analysis - Analyzes massive scale data to drive insights at both a product and user level by sourcing relevant data from databases; prepares data-driven user profiles and segments
  • Uses considerable expertise and independent judgment in collaborating with peers, data engineers, database managers, risk operations partners, and business analysts in designing and implementing the strategy needed to methodically and iteratively structure, test, validate, and communicate data-driven insights from complex sources and significant volumes of data for complex and unique business problems
  • Develops algorithms that result from the validation of hypotheses, and contribute to useful predictions and insights
  • Provides input into risk policy decisions and strategies
  • Ability to translate business criteria into logic statements and rule patterns. Able to perform programming and analysis functions at a high degree of accuracy and speed
  • Knowledge of business rules engine technologies and experience building rules to support business requirements is not required, but preferred
  • Skilled in analyzing data and drawing appropriate conclusions. Able to effectively translate statistical findings to business strategies that positively impact the business and customer
  • Strong SQL skills, previous experience with Microsoft SQL Server is a plus
  • Strong analytical, conceptual and logic skills with ability to perform programming and analysis functions at a high degree of accuracy and speed
  • Ability to work productively with others, not just at a social level, but by building bridges and sometimes confronting tough issues that need to be resolved for the best of the business
  • High degree of Initiative, Integrity & Curiosity for understanding patterns and behaviors through the use of data
  • Bachelor degree (or equivalent) in a quantitative field such as Statistics, Math, Economics, an MBA, or in Computer Science; advanced degree preferred
  • 3+ Years Work Experience in Related Field/Position including experience with developing and maintaining business rules and Data Analytics
  • Work experience in Financial Services with Payments experience preferred
29

Technical Data Analyst Resume Examples & Samples

  • Academic degree in Computer Science, Information systems, or related subject
  • At least 2 years of experience in data analysis
  • Experience in SQL writing - must
  • Experience in the financial market – strong advantage
  • Experience in NLP/Machine learning heuristics – strong advantage
  • Experience in Big Data (Hadoop ecosystem)– advantage
  • Experience working with engineering teams in an agile development environment – advantage
  • Creative ‘Out of the box’ thinker
  • Independent, self-learner and highly motivated
  • Excellent interpersonal and communication skills good communication skills with both technical and business users. (Hebrew and English)
30

Technical Data Analyst Resume Examples & Samples

  • Deep dive into large data sets to answer key business questions using MS Excel, SQL and other data manipulation languages
  • Identify, develop and execute data analyses to monitor operational performance, defects, and customer trends to uncover areas of opportunity
  • Maintain internal reporting platforms including troubleshooting, development and access security
  • Interact with internal users to establish and clarify requirements in order to develop report specifications
  • Contribute to the development of the BI team’s tools, skills, culture and impact
  • Prioritize and work well in an environment with competing demands
  • Master's or PhD degree
  • 1 year of experience in Data Warehousing, Business Intelligence and reporting fundamentals, or equivalent
  • Genuine excitement and passion for developing and analyzing large, complex data sets and converting them into the information/insights that drive business decisions at all levels of the organization. Experience in data accuracy and quality
  • Solutions and client service-oriented with an emphasis on creativity and relationships
  • Distinctive problem-solving and analytical skills combined with strong business acumen; demonstrated ability to multi-task and apply initiative and creativity on challenging projects
  • Exceptional written and verbal communications skills, as well as strong interpersonal skills
31

Technical Data Analyst Resume Examples & Samples

  • Experience with aviation logistics, including technical data management
  • Knowledge of FMS
  • Knowledge of the F-35 program and JSF JPO a plus
32

Technical Data Analyst Resume Examples & Samples

  • Day to day oversight of the ingestion and error resolution of data into the Global Assets Products
  • Develop & implement programs & processes through cross-functional partnerships to support achievement of key organizational objectives
  • Proactively identify associated risks to key initiatives and identify and implement appropriate solutions
  • Providing timely and effective updates and reporting to all key stakeholders ensuring they are fully briefed on achievements, priorities, risks, challenges and mitigation plans
  • Supporting the leadership team in identifying targets, measurements and clear standards of acceptability (planning)
  • Responsible for maintaining all project materials such as project plans and reporting
  • Delivery of selected training modules to ensure team members are provided with appropriate knowledge to perform their assigned duties to meet business needs
  • Align quality procedures with Global processes and measurement, with a long term view of providing superior data quality to our customers
  • Ad–hoc investigation, analysis and solution implementation of local and global assets as required
  • An appreciation of change management, process improvement and project management concepts and methodologies
  • Proven ability to lead and manage multiple projects through their life cycle
  • Key understanding of the end to end data process
  • Process Improvement or process documentation experience is advantageous
  • Strong time management, planning and organisational skills
  • Strong data visualisation skills, with Tableau experience desirable
  • Proficient in MS Office, with strong excel skills in particular (lookups, macro’s, etc.)
  • Proficient in writing SQL queries
  • Experience in use of Alteryx products an advantage
  • Hadoop experience desirable
  • Graph DB experience an advantage
33

Technical Data Analyst Resume Examples & Samples

  • Ability to work with large datasets to extract usable information
  • Attention to detail, data accuracy, and quality of output
  • Ability to communicate effectively, both written and verbal, with technical and non-technical teams
  • Experience with tool / product development
  • Ability to seamlessly work with internal and external partners
  • Experience developing technical guidelines and training documentation
  • Experience with accessing data stored in Oracle, PostgreSQL, or other RDBMS
  • Experience with accessing data stored Cassandra, HBase, or other NoSQL databases is a plus
  • Working knowledge of SQL, Hive, Pig, and other query languages is a plus
34

Senior Technical Data Analyst Resume Examples & Samples

  • Provides guidance and support leadership to Business leaders and stakeholders on how best to harness available data in support of critical business needs and goals
  • Leads the full cycle of iterative big data exploration, including hypothesis formulation, algorithm development, data cleansing, testing, insight generation/visualization, and action planning
  • Uses considerable expertise and independent judgment in collaborating with peers, data engineers, database managers, and business analysts in designing and implementing the research strategy needed to methodically and iteratively structure, extract, cleanse, sample, test, validate, and communicate data-driven insights from complex sources and significant volumes of data for complex and unique business problems
  • Applies proven methods and hacking skills in working with divergent data types, data scales, and big data (petabytes), to explore and extrapolate data-driven insights using advanced, predictive statistical modeling and testing applied to data acquired and cleansed from a range of sources (relational and non-relational NoSQL databases)
  • Provides to business stakeholders the entrepreneurial guidance essential for appropriately interpreting and building on findings, and fully exploiting the insights revealed through the research
  • Business-oriented researchable questions or "working hypotheses" generated in collaboration with business leaders and stakeholders
  • Research plans and specifications for large data sets (e.g., statistics, sampling strategy, test specification, steps)
  • Algorithms that result from the validation of hypotheses, and contribute to useful predictions and insights
  • Input into product development or marketing strategies
  • Analytical inquiry findings
35

Senior Technical Data Analyst Resume Examples & Samples

  • Partner closely with analysts, data scientists, data engineers, care professionals, and PMs to develop solutions to support care operations and reporting
  • Help strategically coordinate new external products and internal platforms and ingest associated data to be used in conjunction with existing data sets
  • Partners with solutions architects to structure ETLs and schema development to support data analytics and data science
  • Partner with product engineers to productionalize machine learnings models
  • Own and maintain the care analytics data model, and work through the backlog of improvements and updates to it
  • Own scheduled jobs across care analytics and partner with data engineer to coordinate on production ETLs and promote stable code as necessary
  • Translate business requirements into technical requirements to support care data
  • Support and Web beaconing to capture customer data and enable AB testing in product
  • Bachelor’s degree in a quantitative field - Computer Science, Engineering, Mathematics, or related fields; Master’s preferred
  • 4-6 years of work experience involving technical analytics or data engineering
  • Technical experience including SQL, some form of coding (Python, Scala, php, etc), ETL/scheduling, Agile Methodology
  • Data instrumentation experience preferred, including Adobe Analytics/Google Analytics, Adobe SiteCatalyst, and Ensighten
  • Big data experience (Hive, Hadoop), data warehousing, and scripting experience preferred
  • Other related tool experience is a plus: Java, Git, Jira, and Tableau
  • Ability to work closely and communicate effectively with both business professionals and data/engineering professionals at various levels
36

Technical Data Analyst Resume Examples & Samples

  • Created Source to target mapping / Data mapping documents
  • Claims Payment experience is a plus
  • Analyzing Databases
  • Migrating Data
  • Stored Procedures
  • Understand complex data requirements and transformed into user stories
  • Created data flow diagrams
  • Developed Conceptual / logical data models
  • Performing Data quality analysis and data profiling
  • Performing gap Analysis
  • Performing data consolidation
  • Defined key facts and dimensions
  • Conducted JAD sessions
  • Writing Data Transformation Rules
  • Created and executed Test Plan and Test Cases
  • System Analysis
  • Designing data transformation methodologies
  • Participated in data modeling
  • Identified Use Cases from the requirements
  • Wrote Use Case Specifications
  • Experience in data migration projects
37

Senior Technical Data Analyst Resume Examples & Samples

  • Applies statistics-based market intelligence to business issues and formulates recommendations
  • Ensure site/product tagging is optimized to provide crystal-clear visibility into the impact and value of new features, initiatives and product releases
  • Ability to tell stories with data, educates effectively, and instills confidence in recommendations, motivating others to act on them
  • Strong analytical and problem solving skills: able to develop and use structured approaches to identify root causes and recommend resolutions: can present results in meaningful terms
38

Technical Data Analyst Resume Examples & Samples

  • Analyze and create technical specification documents to map and transform source to target data
  • Design and develop data models using Hana Studio and apply the best practices for optimum performance of the models
  • Perform unit testing and see through the deployment of the models during the weekly releases
  • Create and maintain TFS tasks for successful deployment of the models
  • Work with BIOM teams and Business Analysts, to provide support for enhancements and bug fixes
  • Transition and provide knowledge transfer to BIOM team upon completion of project development
  • Oversee, direct, or consult on technology implementations and modification activities (for example, projects or high impact work activities), particularly shared technology solutions that span multiple technology verticals. Consult on application or infrastructure development projects to harmonize systems or infrastructure with the Enterprise. Identify the organizational impact (for example, on skills, processes, structures and culture) and financial impact of current and future technology roadmaps and decisions
  • Document process and communicate among various IT groups how to support and maintain the system to ensure that the system is operationally supported backed up, monitored, patched and tuned for performance
  • HANA technology implementation and development experience
  • Data Warehouse Design and Data Modeling
  • Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, ETL frameworks)
  • Excellent at writing queries and reporting writing
  • Solution design, requirements gathering and analysis experience
39

Technical Data Analyst Resume Examples & Samples

  • Ability to multi-task and remain calm under pressure and to organize multiple tasks simultaneously
  • Strong commitment to achieving results
  • Determination to exceed customer expectations and take ownership of issues
  • Attention to detail
  • Target driven
  • Ability to follow business processes and tasks
  • Ability to handle problems through to completion
  • Very good communication skills / telephone manner and written (English is a must and Turkish)
  • Determination to exceed customer expectations
  • Good problem solver and ability to understand impacts of actions
  • Ability to be assertive where required
40

Technical Data Analyst Resume Examples & Samples

  • Strong organizational skills and detailed oriented
  • Ability to work under the pressure of deadlines
  • Works independently as well as in a group
  • Self-learner
  • Database & general SQL knowledge (SQL, DB2, etc.)
  • Ability to identify & capture use cases, business rules and ability to communicate (verbal /written) these to ETL or develop teams
  • Can handle diverse IT projects
  • Knowledge of Mainframe or Java is a plus
  • Familiar with file comparison tools, such as Beyond Compare
  • Some programming knowledge
  • Ability to analyze legacy systems
  • Work with SMEs to interpret, identify and document business rules and use cases
  • Ability to create data mapping documentation to translate business rules into transformations in target to source documentation for developers
  • Analyze data and make recommendations
  • Assist in QA to confirm business rules are satisfied
  • Communicate with offshore teams
41

Technical Data Analyst Resume Examples & Samples

  • Drive Data Quality stream of work across MaCS applications
  • Partner with Business Teams/Middle Office/Front Office to collect business/data requirements
  • Develop in-depth knowledge of MaCS family of applications
  • Extract data for analysis, identify patterns
  • Monitor data quality application issues, conduct root cause analysis
  • Identifying data anomalies and assess possible business impact
  • Develop and maintain data quality dashboard
  • Identify and facilitate issue resolutions and escalate where applicable
  • Create Business Requirement documents, System Specifications
  • Manage competing priorities, multiple work streams, meet deadlines
  • Create and maintain UML diagrams to document exiting business process
  • Establish and implement change control process for key project artifacts
  • Lead/participate in meetings, providing continuous feedback on project status and offering constructive options to ensure project tracks to original expectations
  • Partner with development teams to ensure specifications and priorities are understood and project dependencies are known
  • Facilitate decisions at the earliest possible time
  • Coordinate with project managers and team members to identify and resolve potential scheduling or resource conflicts
  • 5+ years of professional experience with Data Analysis in an enterprise environment
  • This role will require in-depth understanding of fundamental financial data concepts, hands on data analysis, continues interaction with both technical team and business owners
  • Data modeling/UML modeling skills are essential
  • Hands-on experience with reporting tools such as Business Objects, Cognos, QlikView …
  • Proficiency with relational, dimensional, OWL/RDF modeling techniques
  • Hands-on experience using SQL/NO-SQL Database
  • Experience in data distribution, familiarity with financial industry message protocols such as FIX , SWIFT, FpML
  • Experience in defining and implementing data transformation logic
  • Ability to work independently, own deliverable from inception to delivery
  • Strong communications, documentation, presentation skills using PowerPoint, Excel
  • Ability to build strong relations with developers and stakeholders to ensure successful project delivery
  • Experience in working as part of a distributed global development team, responsible for the design, implementation, delivery and support of a global application spanning multiple time-zones
  • Nice to have–knowledge of programming language such as Java, Python, application architecture
  • College degree (computer science preferred)