Data Analytics Developer Resume Samples

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Z Blanda
Zoe
Blanda
35043 Fredy Extensions
Philadelphia
PA
+1 (555) 198 7393
35043 Fredy Extensions
Philadelphia
PA
Phone
p +1 (555) 198 7393
Experience Experience
02/2016 present
Los Angeles, CA
Senior Data Analytics Developer
Los Angeles, CA
Senior Data Analytics Developer
02/2016 present
Los Angeles, CA
Senior Data Analytics Developer
02/2016 present
  • Establishes a close working relationship with Team Excelsior teammates and their partners
  • Develops back-end ETL and workflow processes and/or front-end reporting and analytics products using Informatica, ActiveBatch, Cognos,
  • Follows the established Excelsior BI SDLC, which agrees with the DaVita IT policies and procedures
  • Create functional & technical documentation related to visualization solutions
  • Performance-based rewards based on stellar individual and team contributions
  • Advanced level of SQL programing and query performance tuning techniques
  • Creates and prepares Change Requests for migratin through SDLC process
03/2012 12/2015
San Francisco, CA
Data & Analytics Developer WF Data & Analytics
San Francisco, CA
Data & Analytics Developer WF Data & Analytics
03/2012 12/2015
San Francisco, CA
Data & Analytics Developer WF Data & Analytics
03/2012 12/2015
  • Prior role developing/managing/working with ETL & reporting tools (Informatica 9x, Business Objects XI R2, R3, R4
  • Prior role developing/managing/working with ETL & reporting tools (Informatica 9x, Business Objects XI R2, R3, R4 & Unix scripts
  • Perform unit testing and system integration testing in development environment
  • Work with team on data warehouse development of schemas and joins to support and enhance current data model/sources
  • Development of ETL process using PL SQL, Informatica & Unix scripts/jobs
  • Business Objects backend development, including objects and universe design
  • Develop technical design specifications and validate approach during internal reviews
07/2009 09/2011
Dallas, TX
Data Analytics Developer
Dallas, TX
Data Analytics Developer
07/2009 09/2011
Dallas, TX
Data Analytics Developer
07/2009 09/2011
  • Conceptual design and development of data ingestion processes, including development of parsing algorithms and scripts to automate log ingestion and synthesis
  • Assist with the development of project status briefings and dashboards for Agency executives
  • Development of dashboards and reports to assess data performance and quality control
  • Work closely with the project teams to architect and develop the best technical design and approach for data
  • Make concrete contributions to overall system robustness, performance and resiliency, security access control as well as operational monitoring
  • Working knowledge of big data technologies (Hadoop, Hive, Spark, Pig)
  • Identification of analytics approaches, and development of supporting analytical data sets
Education Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
Ashford University
Bachelor’s Degree in Computer Science
Skills Skills
  • Knowledge of or strong desire to learn various Financial Products (equities, fixed income, swaps, futures, options, etc.)
  • Proven ability to step outside role confines, work independently when necessary, help teach and enable other team members
  • A demonstrated ability to quickly learn new tools and languages
  • Great communication skills, team player, self-starter, demonstrated strong work ethic
  • Excellent interpersonal skills and professional approach
  • Strong attention to detail
  • Strong analytical and problem solving skills
  • Great interpersonal skills
  • Highly organized
  • A working knowledge of Git and Jira
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1

Data Analytics Developer Resume Examples & Samples

  • Build highly scalable technologies, and services that deal efficiently with large amounts of customer data
  • Work with databases and other internal and external platforms to extract customer-related information to support various strategic sales analytics initiatives
  • Automate metrics to track and measure effectiveness of our analytics initiatives using complex SQL queries
  • Utilize the knowledge of development languages such as Perl/Python or Java
  • Develop, design and maintain BI reports or any visualization solutions
  • Translate functional requirements into technical specifications
  • Bachelor's (preferably Master's) degree in Computer Science, Engineering or a related discipline
  • Solid experience with large scale software development and deployment, preferably in the financial industry
  • 3+ Sybase, MS SQL Server, or Oracle database experience (SQL, stored procedures and functions, data modeling)
  • 3+ years of experience with any high-level, general-purpose programing language such as Perl, Python or Java
  • Experience with any Reporting Tools/Engines such as BIRT (preferable), Business Objects, Crystal Reports or MS SSRS
  • Experience working with large data sets, experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive,etc.)
  • Experience working of system integration projects
  • Strong knowledge of Systems/Applications design and architecture
  • Ability to work under pressure and take ownership of issues
2

Data Analytics Developer Resume Examples & Samples

  • 1) Delivery of Data, Business Intelligence and Analytic Solutions
  • Collaborate with Hadoop CoE, immediate team members and business partners to understand their data and analytics needs, and develop the required data infrastructure within the Hadoop data lake using Apache Hadoop ecosystem of technologies, DB2, SQL, Informatica and Diyotta
  • Collaborate with business partners and data scientists to deliver highly complex, creative, cost-effective and robust Analytic and BI solutions using Spark (Python, Scala, Java), and also off the shelf tools (SAS, Cognos, Tableau)
  • Contribute to the delivery and implementation of technical solutions in a dynamic and complex environment
  • 2) Data Governance, Testing and Compliance
  • Follow bank governance policies and change control processes in solution development and implementation
  • Contribute to internal and external audit activities under the guidance of the Director in order to meet regulatory compliance requirements
  • 3) Relationship Management
  • Solid programming skills in Java, Python, C, C++
  • Knowledge of Apache Hadoop ecosystem and Spark framework
  • Solid knowledge of database programming (SQL). Knowledge of other business intelligence technologies and data warehouse tools (e.g., DB2, Cognos, Informatica) is an asset
  • Strong interpersonal, written and verbal communication skills. Ability to coordinate between project team members and business stakeholders to translate complex business requirements into cost- effective and robust solutions
  • Solid understanding of the Software Development Life cycle (SDLC), with the ability to work creatively and analytically in an agile development environment
  • Excellent organizational, planning and time management skills
  • Knowledge of the financial services industry is an asset
  • A University degree, specializing in Computer Science/Computer Engineering or a related discipline
  • Experience in data, analytic and application development is an asset
3

Data Analytics Developer Resume Examples & Samples

  • Bachelor’s Degree in Computer Science, Engineering, Math, or Hard Sciences
  • In-depth knowledge of Python
  • Knowledge of or strong desire to learn various Financial Products (equities, fixed income, swaps, futures, options, etc.)
  • Solid problem-solving and trouble-shooting skills
  • Great interpersonal skills
  • Strong attention to detail
  • 2+ years of professional Software Development experience preferred (in the financial industry a plus)
  • Master's Degree and PhD
  • Previous experience with Pandas, Numpy, or other libraries
  • Working knowledge of Oracle PL/SQL
  • Knowledge of Java, C++, or other programming languages
  • Knowledge of BIRT or similar report design program
  • Quantitative background or aptitude
4

Data Analytics Developer Resume Examples & Samples

  • BaU Trade Surveillance platform that supports market manipulation surveillance covering major Corporate & Investment Banking (CIB) Market products and Information Barrier Surveillance
  • Strategic Trade Surveillance platform that supports market manipulation surveillance for multiple asset classes, FX, F&O, Equities, Commodities, Fixed Income and also serve as an Analytics Repository for major CIB Markets products
  • Vendor Trade Surveillance software packages including SMARTS.Broker from NasdaqOMX as well as Actimize ETS Surveillance from NICE
  • Hands-on end-to-end application development in both strategic and BaU Trade Surveillance platforms
  • Make concrete contributions to overall system robustness, performance and resiliency, security access control as well as operational monitoring
  • Provide L3 support to diagnosis and resolve issues relating to the upstream data feeds, surveillance model and analytical batch processing, and application functionality issues of the Trade Surveillance in-house platforms and vendor software packages
  • Collaborate with relevant partnering team in Enterprise Technology organizations – Corporate Technology & Risk (CTR) Operate, CTR Release Management, GTI Infrastructure Teams (DBA, SA, Storage, Network, etc.) and rest of the LCST Surveillance AD to ensure a robust and resilient operational environment for global Compliance business
  • 8+ years of Application Development experience in Compliance Surveillance, Investment Banking Front-office or Middle Office Technology organizations
  • Experience in directly facing off end users in Compliance, Front Office or Middle Office to provide technology support
  • 5+ years of strong core Java development experience. Any Java certification is highly preferred
  • 5+ years of experience in Oracle, Sybase or MS SQL Server
  • 5+ years of development experience with Unix/Linux shell scripting and Python
  • Experience with methodologies and technologies used in data analytics
  • Experience with TDD, rapid delivery and industry SDLC best practices
  • Product knowledge from working with one or more Investment Banking trading products – FX, Equities, F&O, Commodities or Fixed Income would be an advantage
  • Ability to work under pressure and multiple concurrent work streams. Strong sense of urgency and initiative to take ownership of issues, resolve problems and propose solutions and re-engineering improvements
  • Ability to work with geographically distributed and culturally diverse development organization
5

Big Data Analytics Developer Resume Examples & Samples

  • 3+ years with Cassandra
  • 3+ years with Solr/Elastic Search (preferably in conjunction with Cassandra)
  • 2+ years with Spark/or Hadoop
6

Data & Analytics Developer WF Data & Analytics Resume Examples & Samples

  • Develop technical design specifications and validate approach during internal reviews
  • Development of ETL process using PL SQL, Informatica & Unix scripts/jobs
  • Coordinate and validate code movement between DEV and STAGE with admin team
  • Bachelor’s degree in IT or IT-related field. 5-6 years of data warehouse, SQL, and/or ETL technical experience
  • Should be adept in data warehouse concepts and new emerging industry trends
  • Experience working with Informatica 9x
  • Experience working with Business Objects 4
  • Experience working with SQL, & PL SQL
  • Knowledge of working in an iterative manner (in the spirit of Agile/SCRUM methodologies)
  • Experience working with business partners and balancing relationship with internal IT providers
7

Senior Data Analytics Developer Resume Examples & Samples

  • Develops back-end ETL and workflow processes and/or front-end reporting and analytics products using Informatica, ActiveBatch, Cognos,
  • Tableau, Excel, SQL Server, Oracle, and other technologies as needed
  • Follows the established Excelsior BI SDLC, which agrees with the DaVita IT policies and procedures
  • Designs processes that are clear, concise, repeatable, and applicable to a wide range of reporting needs
  • Recommends improvements and functional changes and updates to planned and existing processes
  • Creates and prepares Change Requests for migratin through SDLC process
  • Establishes a close working relationship with Team Excelsior teammates and their partners
  • Attends Team Excelsior meetings as well as Excelsior BI meetings
  • Coordinates with other Team Excelsior developers, as well as other members of Team Excelsior, at all levels, as needed
  • Communicates with teammates and partners early and effectively
  • Bachelors degree in Computer Science or other relatable area of study, and/or completion of relevant training programs or courses, and/or 5 years relevant working experience required
  • 1 year working as the lead or supervisor of a team or project required
  • Expert in the following technologies: Informatica PowerCenter, Cognos Report Studio, Tableau, SQL Server SSIS
  • Thrives in a collaborative and fast paced work environment
  • Ability to self-manage and self-motivate
  • Executes on instructions well, takes the initiative, and makes decisions timely and with the correct amount of urgency
  • Works evenings/nights/weekends when necessary
8

Data Analytics Developer Resume Examples & Samples

  • Experience of scalable data management tools including Relational and SQL databases (ideally Oracle)
  • Demonstrated experience of analytical development languages (ideally Python)
  • Take initiative in evaluating and adapting new technical approaches from data science research
  • Partner with the Tech Advisory Business Analyst to understand requirements and translate into a technical solution
  • Solve complex information requirements problems via a combination of judgment and proven analytic practices
  • Demonstrated knowledge of data modelling
  • Understanding of probability, statistics, and time series analysis
  • Ability to harness multiple technology teams across Banking technology to drive the PoC
  • Collaborate & brainstorm with business stakeholders to understand and analyse needs. Ability to communicate findings and obstacles
  • Great communication skills, team player, self-starter, demonstrated strong work ethic
  • Bachelor's degree in MIS, Computer Science, statistics, mathematics, physical sciences or other quantitative discipline
9

Big Data & Analytics Developer Resume Examples & Samples

  • Bachelor's degree and eight years related work experience or twelve years related work experience post high school
  • Three years software application experience
  • Experience working in a Hadoop Ecosystem
  • Hortonworks or Cloudera experience preferred
  • Experience with Streaming Analytics
  • Spark Streaming
  • Kafka/Storm/Flume
  • Experience with Open Source Programming
  • Scala/Spark, Map Reduce, Tez, PIG, R, Python, Java, C++
  • Experience with Hadoop System Administration and Architecture (Ambari, Zookeeper, Ranger, SmartSense)
  • Experience with HDFS, HIVE and NoSQL DB (Hbase, MongoDB)
  • Experience with Visualizations on Hadoop (R Shiny, Zeppelin, iPython, Microstrategy, Tableau)
  • Experience with Analytics on Hadoop (Aster, Alteryx, R, Python)
  • Experience working with high volume, high velocity data
  • Must have great communication skills
  • Must have great presentation skills
  • Must be able to work with little direction or with vague direction
  • Must be a 'hacker' and have a hacker mentality
  • Experience within Telco a Plus
  • Experience within Digital a Plus
  • Must have strong Business Acumen
10

Senior Data Analytics Developer Resume Examples & Samples

  • Accountable to execute Advanced Analytic solutions across the globe, managing all internal BIS activities and interchange with external parties while keeping an eye on lift and shift opportunities. There will be strong oversight and partnership within the PAC team until business knowledge and statistical competence around CPG approaches can be developed
  • Accountable to execute statistical methods, database creation and ETL as well as applications (including Tableau or Microstrategy visualizations and JAVA development)
  • Requires strong communications with the team, business and extended IT teams
  • Solid business understanding of CPG and PepsiCo with a quick acumen for new subject areas
  • Able to take all opportunities to sell PAC's capabilities to new constituents
  • Quickly able to design advanced solutions and estimate effort / cost
  • Strong ability to generate business report-outs with meaningful insights (PPT)
  • Able to simplify complex analytical solutions for the business as well as extended IT team members
  • Bachelors required
  • Highly analytical, motivated, decisive thought leader with solid critical thinking able to quickly connect technical and business 'dots'
  • Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities and projects at the same time
  • Able to understand statistical solutions and execute similar activities
  • Solid skills in creating databases, SQL, extract, translation and load technical capabilities (5+ years' experience)
  • Experience in applications development, JAVA a plus (4 years' experience)
  • Strong business acumen and ability to communicate in business language
  • Can translate complex business issues into technical solutions and able to simplify complex technical solutions in simple business terms
11

Big Data Analytics Developer Resume Examples & Samples

  • Building a cloud based platform that allows easy development of new applications
  • Building well-formed APIs and services to allow the wider Elsevier ecosystem to easily integrate with our applications
  • Be interested in working for a global organization known for doing good things around the world
  • Possess a desire to work within an advanced tech stack including AWS and Cloud based computing while surrounded by a brilliant set of technologists
  • Development on the JVM using Scala and possibly other JVM languages, knowledge of Python or R is a bonus
  • Familiarity with tools such as Mesos or Docker and an instinct for automation
  • Excellent communication skills that enable you to work with distributed teams across multiple time zones
  • Agile experience with Scrum/Kanban/XP, and the use of Jira and Confluence
  • Web service development using frameworks such as Dropwizard, Akka, Lagom or similar
  • Produce documentation of all software and processes
  • Solid Pension Plan, with a choice between a collective pension plan an individual pension plan
  • Reductions to several personal insurance packages due to our collective agreements
12

Data Analytics Developer Resume Examples & Samples

  • Responsible for driving Baker Hughes data at the Enterprise level
  • Collaborate with the Business Stakeholders and the Data Engineering Team to design and develop tools and utilities, optimizing the correlation of disparate data sets to meet the needs of the business
  • Lead the design of the data ingest process across all internal and external data sources
  • Work in conjunction with data owners to implement relevant business rules, enabling a consistent, correlated data set across multiple data sources
  • Work closely with the project teams to architect and develop the best technical design and approach for data
  • Contribute to and oversee the delivery of high quality data that supports the Company’s proprietary software products
  • Develop data governance to ensure implementation of design and high quality standards
  • Capability of handling several deadline-driven tasks at once, and comfort with shifting priorities
  • High-level multi-tasking skills and ability to operate in a fast-paced environment
  • Proven ability to step outside role confines, work independently when necessary, help teach and enable other team members
  • Will work in conjunction with Data Architect. Handles special projects, as assigned
  • Bachelor's degree from accredited university in computer science with 10 years’ experience or MIS with 8+ years’ experience in software processes, systems architecture and data lifecycle management
  • Highly proficient with Oil & Gas industry wellsite data
  • Expert knowledge of oilfield vocabulary
  • Experience in data transformation, governance and storage
  • Prior experience automating data transformation and extract
  • Proficient in C# .NET programming
  • Experience in production optimization for large data sets
  • Understanding of Analytics fundamentals (Business Intelligence through machine learning)
13

Senior Data Analytics Developer Resume Examples & Samples

  • Provide visualization solutions to educate and communicate to internal clients, teams, and fans by applying rich visualization design to quantitative and qualitative data
  • Create and design visualization solutions in both industry-standard and custom visualization platforms (e.g. SAP Lumira, Tibco Spotfire, Tableau, D3, VEGA)
  • Lead and mentor data visualization developers in information presentation & delivery
  • Create functional & technical documentation related to visualization solutions
  • Provide thought leadership, best practices, and standards required to deliver effective solutions to internal clients, teams, and fans
  • 5 years' experience in the fields of Data Visualization, Business Intelligence or Information Management
  • 2+ years of experience with data visualization designing high value-add solutions and performing administrative activities across a multi-environment infrastructure
  • Exceptional analytical, conceptual, and problem-solving abilities
  • HTML, Javascript, SQL knowledge a plus
  • Previous experience working with basketball or sports data a plus
  • Experience using SAP HANA and SYBASE
  • C#, .net development skills
14

Data Analytics Developer Resume Examples & Samples

  • Hands-on developer (ideally Java, J2EE) with a particular focus on JSP, Servlets, Jquery, data and analytics, machine learning predictive models
  • Requirement gathering, bug fixing and testing
  • You will also need to be a self-motivated, efficient, reliable team player, able to communicate effectively with multi-disciplinary personalities to find optimum solutions
  • PHD in , Computer Science, statistics, mathematics, physical sciences or other quantitative discipline
15

Big Data Analytics Developer Resume Examples & Samples

  • Strong interpersonal and communication skills, negotiation and presentation skills
  • Strong analytical and diagnostic abilities
  • Excellent organizational skills, ability to prioritize and juggle multiple tasks simultaneously
  • A strong sense of curiosity and creativity
  • Demonstrated degree of initiative and ability to work with little supervision in a cross-functional team
  • Ability to perform in a multi-task and dynamic team environment
  • High tolerance of ambiguity
  • Self-driven, free thinker, collaborative innovator personality
  • Process driven (from start to finish)
  • Strong priority and project management skills
  • Strong time management skills – ability to coordinate and delegate multiple initiatives
  • Strong customer service orientation
16

Senior Data & Analytics Developer WF Data & Analytics Resume Examples & Samples

  • Data warehouse development of schemas and joins to support and enhance current data model/sources
  • Build/analyze/enhance Tableau data source connections and extracts
  • Bachelor’s degree in IT or IT-related field. 7+ years of data warehouse, SQL, and/or ETL technical experience
  • Prior role developing/managing/working with ETL & reporting tools (Informatica 9x, Business Objects XI R2, R3, R4 & Unix scripts
  • Location: Bangalore, India
  • Experience working with Oracle Essbase cube technology
  • Experience writing Unix, Linux, and Batch scripts
  • Experience with HRIS or Workforce solutions/analytics
17

Senior Data Analytics Developer Resume Examples & Samples

  • Design, develop, test and deploy business intelligence solutions such as OLAP models, dashboards and ETL to suffice business partner's needs
  • Interact with business partners to elicit requirements for data and analytics centric solutions
  • Mentor business partners and other members of the team on the use of corporate information assets and information analytics technologies available to drive data analytics processes
  • Review and optimize current processes
  • Ensure data quality, completeness, accuracy, and timeliness are built into every BI Solution
  • Collaborates with other developers and provides significant contributions to develop specifications to resolve business client questions, problems, and to address enhancement needs
  • BS and 8+ years or equivalent experience
  • 5 years of experience employing data warehouse lifecycle principles and theories, including knowledge dimensional modeling
  • Advanced level of SQL programing and query performance tuning techniques
  • Strong development experience using Microsoft BI (SSRS, SSAS, Power BI) stack
  • Experience with Oracle 11, 12 and PL/SQL
  • Solid understanding of BI and analytics landscape, preferable in large-scale development environments
  • Knowledge of all phases of software development including design, coding, testing, debugging, implementation, and support
  • Ability to collaborate and excel in a multi-functional team environment
  • A strong cross-functional technical background and a willingness to expand his/her leadership and technical skills
  • Experience with banking data, including deposits, mortgages, auto loans, ACH transactions is a plus
  • Understanding of Hadoop and big data technologies is a plus
18

Data Analytics Developer / Analyst Resume Examples & Samples

  • Pursuing a degree in Data Science, Business Analytics, Data Analytics, or a related field from an accredited university
  • Prior experience with software development
  • Prior experience querying databases
  • Working knowledge of one or more of the following standard and/or emerging data analytics tools: Excel, Tableau, Hadoop, SQL Server, Business Objects, R, Python, SAS, SPSS, and/or Matlab
  • Working knowledge of Microsoft Business Intelligence tools such as SQL Server Reporting Services (SSRS), SQL Server Integration Services (SSIS), and SQL Server Analysis Services (SSAS)
  • Working knowledge of SAP Business Intelligence tools such as HANA Studio, Information Design Tool (IDT), WebIntelligence (WebI), Lumira, and Design Studio
  • Working knowledge of data visualization tools such as Tableau Desktop
  • Prior experience building predictive models with accounting, engineering, supply chain, and/or manufacturing data
  • Prior experience with data modeling and data analysis
  • Prior experience working with Microsoft Visual Studio and Team Foundation Server (TFS)
  • Ability to work in a collaborative, virtual, and team-based environment
19

Data & Analytics Developer WF Data & Analytics Resume Examples & Samples

  • Development BO and Spotfire reports
  • Business Objects backend development
  • Work with team on data warehouse development of schemas and joins to support and enhance current data model/sources
  • Build/analyze/enhance data source connections and extracts
  • Prior role developing/managing/working with ETL & reporting tools (Informatica 9x, Business Objects XI R2, R3, R4
  • Should be adept in datawarehouse concepts and new emerging industry trends
  • Knowledge and experience with Oracle Views
20

Data Analytics Developer Resume Examples & Samples

  • Programming experience (ie Java, C, .Net or Object Oriented)
  • Demonstrated leadership and teamwork abilities
  • Problem solving abilities
  • Experience with Databases and SQL
  • Knowledge of SAP BusinessObjects
  • Knowledge of SAP Data Services
  • Knowledge of Business Analysis or Mathematical and Statistical Modeling
  • Knowledge of Agile Methodology
  • Knowledge of SAP HANA
  • Knowledge of SAP Business Objects Application tools
  • Knowledge of one or more of the following languages; R, Python, SAS, SPSS, MATLAB, Mathematica
21

Data Analytics Developer Resume Examples & Samples

  • Software development experience (ie Java, C, .Net or Object Oriented), technical writing , communication and presentation skills
  • Experience with data visualization and report development
  • Experience with Business Analysis and/or Data Analysis and/or Big Data
  • Knowledge of SAP Data Services or ETL tools
  • Knowledge of SAP ERP basic principles, tables, transactions, master data
  • Knowledge of Mathematical and Statistical Modeling
  • Demonstrated teamwork abilities
  • Knowledge of one or more of the following languages; Java, C++, R, Python, SAS, SPSS, MATLAB, Mathematica
  • Desire to continuously learn and be up to date with new technologies
22

Data Analytics Developer Resume Examples & Samples

  • Software development experience (Java, C, .Net or Object Oriented), technical writing , communication and presentation skills
  • Strong collaboration skills
  • Knowledge of one or more of the following languages; Java, C++, R, Python, - SAS, SPSS, MATLAB, Mathematica
23

Data Analytics Developer Resume Examples & Samples

  • Code, test, debug, and document Data Warehouse, data processing and analytical back-end applications of moderate complexity
  • Translate customer requirements and formulates detailed specifications from which programs are written
  • Use Big data technologies to enrich and transform data and do data analytics
  • Participate in transition of the data processing infrastructure to a big data/cloud framework
  • Design, build and maintain our data warehouse/data lake environment
  • Participate in rotating 24hr on-call support
24

IT Business Data & Analytics Developer Resume Examples & Samples

  • Requires a BS/BA degree or any combination of education and experience, which would provide an equivalent background
  • 4-5 years’ experience in data warehouse and data integration principles
  • PC, spreadsheet, and database skills, as well as experience in standard Business Information tools and programming/query languages is also required
  • Healthcare background (medical and pharmacy claims, provider, member, authorizations)
  • Facets, EMR/EHR experience
  • Knowledge of SQL – stored procedures, functions, dynamic SQL, triggers, etc
  • Database modeling experience – design of relational and dimensional data models
  • Understanding of data integration problems, including validating and cleaning data
  • Experience in overall data solutions (ETL, ODS, Data Marts, Cubes, and Reporting)
  • Excellent analytical, communication, problem-solving, and planning and organizational skills required
  • Demonstrated ability to lead and plan complex, large-scale projects is an added plus
25

Data & Analytics Developer Resume Examples & Samples

  • Utilizing technical expertise; Creates system requirements, performs design and analysis, and coding and unit testing of complex to highly complex system functionality and/or defect correction across multiple platforms. Identifies ideas to improve system performance and impact availability. Resolves complex technical design issues
  • Provides functional and/or technical guidance in evaluating applications systems or evaluating requests for proposals. Coordinates changes and influences and prioritizes tasks with business or technical departments
  • Analyzes and influences technical, system, and/or user requirements. Identifies and creates solutions to improve system performance and availability. Facilitates root cause analysis of system issues to minimize impact and future occurrences
  • Creates system documentation/play book(s) and serves as a lead technical reviewer and contributor in requirements, design and code reviews. Typically serves as a resource to the business
  • Develops accurate estimates on work packages and ensures the accuracy of estimates developed by less experienced internal and third party team members. Analyzes and designs specifications for less experienced internal and third party team members to execute. Acts as a technical resource throughout the development life cycle. May also actively contribute to the technical and soft skills development of team members
  • Assists team leads and management with delegation of technical work packages to cross-functional and third party team members for execution through the full development life cycle. Keeps management appropriately informed of progress and issues
  • Coordinates system application transition from development teams to maintenance and production teams, and/or constructs and implements necessary controls to assure system/application traceability
26

Lead Data Analytics Developer Resume Examples & Samples

  • Support and lead the design and development of “end to end” electronic transaction visibility, including large scale processing, integration, and analysis of system logs and databases
  • Conceptual design and development of data ingestion processes, including development of parsing algorithms and scripts to automate log ingestion and synthesis
  • Support the design and implementation of data integration across data analytics infrastructures
  • Identification of analytics approaches, and development of supporting analytical data sets
  • Develop methodologies and analytical approaches to incorporate machine learning
  • Assist with the development of project status briefings and dashboards for Agency executives
  • Bachelor’s degree in a computer science, applied mathematics or similar technical disciplines required
  • Highly focused, detail-oriented temperament are required
  • Experience in the design, development, integration, testing, and implementation of a large-scale data sets
  • Solid knowledge of data analytics tools and methods; knowledge and experience with SAS analytics, R, or a demonstrated ability to quickly learn new tools and languages
  • Knowledge of Hadoop is a strong preference
  • Working knowledge of data processing tools/languages including Perl, SQL, Bash, etc
  • Experience in developing statistical models, and knowledge of machine learning approaches and algorithms
  • Five or more years of progressive experience in data analytics; specific focus on internet web transactions is preferred
  • Experience in the design and development, integration, testing, and implementation of a large scale analytics infrastructures
  • Excellent communication, written, and organizational skills
  • Project management skills preferred
  • Experience with, or exposure to Hadoop and Splunk is considered a plus
27

Data Analytics Developer Resume Examples & Samples

  • Support the design and development of “end to end” electronic transaction visibility, including large scale processing, integration, and analysis of system logs and databases
  • Development of dashboards and reports to assess data performance and quality control
  • Interact with client project team members and operational staff
  • Bachelor’s degree in a computer science or a technical discipline required
  • Five or more years of experience developing production quality Perl code
  • Experience in the design, development, integration, testing, and implementation of a large scale data sets
  • Solid knowledge of data processing tools/languages including Perl, SQL, Bash, etc
  • Experience with other languages that have advanced the candidate’s skill at building efficient code are valued
  • Proficiency in the Linux command line environment
  • Strong ability to navigate and process large log files in a Linux command line environment, including use of vi editor for application development
  • Strong analytic and creative problem solving abilities are required
  • Highly inquisitive with an ability to work both independently and in collaborative setting
  • Strong teamwork, communication and interpersonal skills
  • Strong communication, written, and organizational skills
  • Ability to work on multiple aspects of a large scale project which includes prioritizing, tracking, attention to detail, follow-up and follow-through to project completion
  • Comprehensive knowledge and understanding of Internet web transactions, traffic flows are preferred
  • Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information
28

Data Analytics Developer Resume Examples & Samples

  • 3+ years of appropriate technical experience
  • Relevant experience with Java8, Scala, or Python
  • Strong Linux command line skills
  • Good understanding of Hadoop eco-system
  • Hands-on Data Mining and analytical work experience
  • Knowledge of data analytics tools and methods
  • A demonstrated ability to quickly learn new tools and languages
  • Knowledge and experience with SAS, R, or SPSS
  • Experience in developing statistical models and algorithms
  • Working knowledge of data processing tools/languages including Perl, Python, etc
  • A working knowledge of Git and Jira
  • Experience with Data Preparation, Engineering, and Analytic tools
  • Knowledge of machine learning approaches and algorithms
  • Experience with, or exposure to Hadoop and Spark
  • Familiarity with financial market data
29

Big Data & Analytics Developer Resume Examples & Samples

  • Interest in learning new things
  • Technical aptitude to quickly learn new things and initiative to stay current, as Cloud, Data and Analytics are rapidly evolving in the industry
  • Solid relationship management skills, as the team collaborates externally with vendors and internally with many business and IT areas to quickly deliver true business value to the FAS business
  • A background in data, with reporting and analytics a plus
  • Experience with java, REST, and AWS a plus
  • Vendor Product Evaluation and integration experience a plus
  • Provides senior level system analysis, design, development, and implementation of applications and databases for client/server-, Web-, and/or PC-based software or middleware. Integrates third party products
  • Translates technical specifications, and/or logical and physical design into code for new or enhancement projects for internal clients. Develops code and test artifacts that reuse subroutines or objects, is well structured, backed by automated tests, includes sufficient comments and is easy to maintain. Writes programs, appropriate test artifacts, ad hoc queries, and reports. Employs contemporary software development techniques to ensure tests are implemented in a way that supports automation
  • Elevates code into the development, test, and Production environments on schedule. Provides follow up Production support. Submits change control requests and documents
  • Thoroughly understands software development methodology. Thoroughly understands architecture standards. Trains and mentors staff with less experience. Resolves issues elevated from staff with less experience
  • Participates in design, code, and test Inspections throughout life cycle to identify issues. Explains technical considerations at related meetings, including those with internal clients
  • Performs systems analysis, including system requirements analysis and definition (e.g., prototyping), and logical and physical design
  • Writes the system/technical portion of assigned deliverables. Assists technical team members with the system/technical portion of their deliverables (e.g., systems testers, test plans). On small teams, the developer may write these items
  • Is highly functional on large, matrixed project teams. Interfaces with cross functional team members, including database administrator, IT security, project manager, technical writer, and clients. Communicates systems issues at the appropriate technical level for each audience
  • 5 years developer or systems analyst experience
  • Strong, demonstrated analysis and problem solving skills
  • Advanced knowledge of the following development practices and concepts
  • Production acceptance, including elevations and change management
  • Interfaces, feeds, and event schedules
  • Quality assurance methodology and Inspections
  • Use case standards
  • Systems analysis and design techniques
  • System/subsystem requirements
  • Libraries, reusable code, and/or object oriented standards
  • Screen, report, and query design
30

Junior Associate, Data Analytics Developer Resume Examples & Samples

  • Develop and implement new software, maintain and improve existing software
  • Ensure that software functionality is implemented with a with a focus on code optimization and organization
  • Troubleshoot application issues and coordinate issue resolution with operations, functional, and technical teams