Data Analyst, Analytics Resume Samples

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T Carter

Tad

Carter

4009 Cartwright Flat

San Francisco

+1 (555) 976 9993

4009 Cartwright Flat

San Francisco

Phone

p +1 (555) 976 9993

Experience Experience

San Francisco, CA

Data Analyst, Product Analytics

San Francisco, CA

Johnston-Pacocha

San Francisco, CA

Data Analyst, Product Analytics

Partner with product managers and internal teams to address complex business questions and provide insightful analysis and strategic recommendations through strong storytelling capabilities to both technical and non-technical stakeholders
Be a HomeAway data guru; be the point of contact for all data questions and insights
Turn data-based observations and insights into hypotheses through analytical rigor, leading to A/B tests that will confirm or deny those hypotheses and ultimately improve the performance of our sites
Monitor engagement and conversion trends across the HomeAway worldwide network, identify breaks in trends, understand underlying drivers, and surface opportunities and threats
Develop product analysis advanced metrics and visuals, by collecting and integrating data from various sources, including web analytics tools and internal databases
Participate to the Product Line Team weekly meeting to ensure insight-based decision making
Partner with Product and Engineering teams to solve problems and identify trends and opportunities

Boston, MA

Data Analyst, Insight & Analytics

Boston, MA

Huels, Turner and Homenick

Boston, MA

Data Analyst, Insight & Analytics

Work as a member of an agile team to develop solutions and response to issues
Partner with members of the Data analysis team to define and expose data
Conduct data and software experiments to expose new methodologies and solutions
Enjoys learning new software applications, processes, and practices
Foster a culture of creativity, collaboration, speed, innovation, excellence and a fun work environment while continuously elevating the quality and caliber of our product
Guide I&A team in creation and usage of Business Intelligence tools
The Analyst role has work across the following four areas

present

Los Angeles, CA

Data Analyst Iv-advanced Analytics

Los Angeles, CA

Reichel Group

present

Los Angeles, CA

Data Analyst Iv-advanced Analytics

present

Assist with training and mentoring other Data Analysts
Model data using MS Excel, Access, SQL, and/or other data ware house analytical tools
Assist with determining work load and related activities for other Data Analysts
Provide advanced analytical support for business operations in all or some of the following areas: claims, provider data, member data, clinical data, HEDIS, pharmacy, external reporting
Assist management in driving business decisions based on data
Extract, load, model, and reconcile large amounts of data across multiple system platforms and sources
Inform, influence, support, and execute our product decisions and product launches

Education Education

Bachelor’s Degree in Finance

New York University

Bachelor’s Degree in Finance

Skills Skills

Strong proficiency with Microsoft SQL
Strong knowledge of the Microsoft Office suite (Word, PowerPoint, Outlook, Excel, etc.)
Ability to communicate technical details to technical and non-technical resources
Demonstrated ability to drive to deadlines, balancing multiple priorities, and ensuring quality standards
Disability benefits
Ensure data quality through scenario-based testing
Knowledge of best practices when dealing with relational databases
Ability to working on cross-functional analytical projects
Excellent interpersonal, listening, oral and written communication skills
Skilled at optimizing large complicated SQL statements

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15 Data Analyst, Analytics resume templates

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Data Analyst, Korea Business Analytics Resume Examples & Samples

Be the business partner to answer business questions through data analytics
Approach problems with rigorous quantitative and strategic analysis for KO business leaders in taking business decision
Design project methodology and scope and lead projects to completion
Provide technical expertise in data mining, measuring business performance and running research using advance mathematical, statistical and experimental approach
Coach juniors in team to enhance their technical skills
College degree (ideally in computer science, statistics or other quantitative fields) or equivalent work experience required. MS, MBA or PhD a plus
Experience working with large data sets in a corporate environment that involved deep quantitative analysis using packages like R, MATLAB, SAS. Fluency in SQL or other programming languages
Strong oral and written communication skills in English

Data Analyst, Insight & Analytics Resume Examples & Samples

Design & Develop reports using SQL Server and business intelligence applications including Power BI and Tableau
Guide I&A team in creation and usage of Business Intelligence tools
Extract, manipulate and transform data to draw actionable insights
Advanced analysis in Power BI, Excel, Tableau and other statistical modeling tools
Partner with members of the Data analysis team to define and expose data
Conduct data and software experiments to expose new methodologies and solutions
Work as a member of an agile team to develop solutions and response to issues
Foster a culture of creativity, collaboration, speed, innovation, excellence and a fun work environment while continuously elevating the quality and caliber of our product
Enjoys learning new software applications, processes, and practices
2+ years practical experience in Business Intelligence reporting
BS in an analytical or business field preferred
Extensive knowledge of Business Intelligence applications, preferably Power BI and DAX functions
Knowledge of data visualization (Tableau and advanced Excel pivot tables/charts)
Solid knowledge of relational databases and SQL scripting
Demonstrated leadership and self-direction
Strong vision for great analytic solutions, and experience building them
Strong teamwork, interpersonal, and communication skills
Ability to show initiative, good judgment, and business knowledge
Very comfortable learning new technologies, tools and platforms

Data Analyst / Analytics Specialist Resume Examples & Samples

Executes analytic projects to provide insight into client needs and behavior, supporting marketing and client servicing decisions
Engages with project sponsors and stakeholders to understand each business question. Probes for hidden questions and goals. Helps bring structure to each request and translate requirements into an analytic approach
Acquires structured and unstructured data and prepares it for analysis. Investigates, extracts, cleans, transforms, QCs and manages data using SQL and Base SAS programming techniques. Identifies and diagnoses data inconsistencies and errors and forages to fill data gaps
Analyzes data to describe client behavior and preferences, understand channel usage, diagnose client experience problems, size marketing opportunity, target clients for treatment and measure the impact of marketing and servicing initiatives. Utilizes appropriate analytic methods and specialized tools to generate insights, answer the business questions and fulfill project objectives
Prepares and delivers insight presentations and action recommendations. Communicates complex material in layman's terms. Guides business partners on the interpretation and use of analytic results
Administers model score, experimental data and documentation libraries
Develops and applies domain knowledge of Vanguard’s businesses and data
Undergraduate degree in an analytically oriented major, such as statistics, mathematics, economics or an applied social science. Academic training in applied statistics preferred
A minimum of three years general experience and three years of relevant professional experience in analytical roles
Knowledge of financial services and marketing
SAS and SQL programming skills. Understanding of data structures
Logical problem solving skills
Excel and PowerPoint skills
Able to communicate complex concepts and analysis to a variety of audience knowledge levels. Data visualization and storytelling skills

Data Analyst, Market Analytics Resume Examples & Samples

Strategic Analysis - Market Sizing and Opportunity Analysis, Segment analysis, Various other Adhocs
Reporting and Dashboarding
Overall Project Management – project scoping, deciding timelines, resource allocation
Stakeholder management
Education: Post Graduate degree/ M.Sc., B.Pharma/M.Pharma/Bio-Tech
Experience: 2-4 Years of corporate experience working on data analytics preferably focusing on the biopharma/biomanufacturing or Life Sciences/Pharmaceutical/Healthcare industry (client or agency side)
Expertise in VBA on Excel,
Exposure to data visualization tools like Qlickview, Spotfire and Tableau
Should be able to understand the business context and design user friendly front ends
Strong communication skills to function within a global environment
Experience in working with global stakeholders in a matrix organization
Strong attitude to create and build new efficient systems and processes involving data
Proactive & flexible solution provider with fast implementation capabilities
Capability to break problems into manageable pieces and follow an organized approach
Should believe in team work – ability to work with diverse, global and cross-functional teams

Analytics Data Analyst Resume Examples & Samples

Periodically update and conduct extensive quality assurance to our financial databases
Perform analysis on the valuation of tradable market securities (Bonds, Equities, ETFs, Mutual Funds, etc.)
Provide our clients with the financial market data they use to manage risk
Assist our Sales and Client Relations Group in resolving client inquiries related to our content
Bachelor's degree in Finance, Economics, Statistics or similar
1-2 years of professional work experience (relevant internships will also be acknowledged)
Excel skills and understanding of VBA, while Linux / UNIX will be a plus
Knowledge of market data vendors, e.g. Reuters is a plus
Commitment to improving the business and customer experience

Workforce Analytics Data Analyst Resume Examples & Samples

Bachelors’ degree required
Must have at least 3 + years of work experience
Excellent Spreadsheet / Excel, data manipulation, and analytical skills. Working knowledge of statistics
Strong attention to detail and excellent communication skills
Experience working on teams to execute complex and / or enterprise wide projects
Hyperion Financial Management application experience highly preferred

Data Analyst, Product Analytics Resume Examples & Samples

Be a HomeAway data guru; be the point of contact for all data questions and insights
Monitor engagement and conversion trends across the HomeAway worldwide network, identify breaks in trends, understand underlying drivers, and surface opportunities and threats
Participate to the Product Line Team weekly meeting to ensure insight-based decision making
Be proactive in solving business questions that data could potentially answer by producing top down data driven solutions to address them
Strong product development mindset and focus on actionable analytics: e.g. Ability to surface signals in our data and work with Product/Engineering to transform these into concrete tests
Demonstrated experience of using relational databases and big data via writing performant queries in SQL against multi-terabyte and billion row datasets in EDW and Hadoop environments
Understanding of Clickstream data and ability to extract and analyze event data with raw BigQuery or Google Analytics User Interface
Proficient at analyzing and interpreting data to the point of being comfortable to mentor other analysts from other internal teams
Consistent ability to produce quality, accurate and highly detailed work products

Prescriptive Analytics Data Analyst Resume Examples & Samples

Utilize technical and programming skill to enhance process automation, design exploration and design optimization on a variety of challenging industry problems
Develop, deploy and support generalized and custom developed predictive and prescriptive analytics tools that end users would use to improve products and process designs
Validate methodology and algorithms and document process and code
Individual will collaborate with research, product development and analytics groups in deploying solutions and participate in application projects and pilot studies
Individual will train and mentor student employees and oversee the execution of associated activities
Masters degree in engineering disciplines
At least 4 year industry experience with a MS degree OR 2 years with Ph.D. using numerical methods, optimization, statistical methods, and signal processing to solving discrete and time series analytical problems
Previous industry experience with data mining languages / packages such as Python, R or SAS
Previous industry experience with programming in Python and/or C++ languages for tool/process automation and GUI development
Previous industry experience with in optimization and design exploration methods such as gradient based methods, genetic algorithms, surrogate modeling, etc
Previous industry experience with multidisciplinary optimization software such as Dakota, iSight or similar software
Previous industry experience with exposure to revision control software (Git is preferred)
Experience/exposure to virtual products development processes and software
Experience with database development / application integration
Previous exposure and/or experience in the construction / earth moving / mining industry
Individual must have the ability to effectively prioritize assignments tasks to deliver results on time
Individual must have strong technical communication skills
Individual must be self-motivated to gather background information, manage and complete challenging tasks on time

Data Analyst Iv-advanced Analytics Resume Examples & Samples

Provide advanced analytical support for business operations in all or some of the following areas: claims, provider data, member data, clinical data, HEDIS, pharmacy, external reporting
Extract, load, model, and reconcile large amounts of data across multiple system platforms and sources
Review data to determine operational impacts and needed actions#CD# elevate issues, trends, areas for improvement and opportunities to management
Develop reports and deliverables and make recommendations to management
Model data using MS Excel, Access, SQL, and/or other data ware house analytical tools
Assist management in driving business decisions based on data
Ensure compliance with federal and state deliverable reporting requirements by performing data quality audits and analysis
Assist with training and mentoring other Data Analysts
Assist with determining work load and related activities for other Data Analysts
Medicare
Teradata
Dashboarding
Advanced Excel/Access
Power Query/Power BI
Compliance/Audit Reporting
Microstrategy
TruCare

Analyst, Analytics & Data Products Resume Examples & Samples

Work with manager and clients to fully understand business requirements and desired business outcomes
Assist in scoping and designing analytic projects and solutions. Contribute to brainstorming sessions
Execute analytic projects ranging from small to large either individually or as part of a project team
Keep an eye out for opportunities to create and automate repeatable analyses or build self-service tools for business users
Perform other tasks on an as-needed basis
Business skills and general qualities

Data Analyst, Member Services Analytics Resume Examples & Samples

Extracts required data from systems using SQL queries
Transforms, manipulates, and joins data to prepare for analysis
Develops hypothesis that can be tested with data
Creates analysis, reports, and dashboards to find actionable insights
Partners with leaders and stakeholders to review data and take action to improve processes
Refines analysis based on stakeholder feedback to uncover additional actionable insights
Coordinates, team/project activities & schedules
Researches key business issues, directs the collecting and analyzing of quantitative and qualitative data
Familiarity with Kaiser Permanente health care system preferred
Mastery with data transformation and analysis
Familiarity with analytics and visualization software such as Alteryx, Tableau
High emotional intelligence and demonstrated ability to work well in diverse teams
Demonstration of proactive attitude and approach to work

Data Analyst for ITD Global Analytics Resume Examples & Samples

Conduct prompted (and unprompted) analysis in support of our distribution channels in an effort to remedy current issues and/or uncover new business opportunities
Develop Standard Reports and Dashboards within core Schneider (and business unit specific) reporting systems, ensuring alignment with generally accepted IT and Business Intelligence standards
Enhance existing reports to align with changing business and partner needs
Create time efficient processes for all analysis and reporting through automation
Use data exploration techniques to discover new questions or opportunities within available data sets
Develop analysis plans and implement appropriate statistical techniques to answer unstructured and complex business questions
Identify areas for process improvement, and drive change in existing team processes
Bachelor’s Degree in Computer Science, Management Information Systems or equivalent
Requires 1-3 years related experience
Experience with Business Intelligence Tools such as SSRS, Tableau, Alteryx, & OBIEE a plus
Experience with SQL programming a plus
Experience using statistical and data analysis tools such as: R, MATLAB, SASS, or similar a plus
Experience with quantitative analysis and statistical modeling a plus

Analytics Center of Excellence Data Analyst Resume Examples & Samples

Recruit, train and coach the team (initially 2 analysts/engineers)
Own overall Tableau User & Builder Experience
5-8 years’ experience in an analytical role in Technology, Consulting or Finance
You know Tableau inside out, and can argue for hours about the benefits of version 9
You know Tableau Server just as well
You are passionate about business intelligence, data visualization, and the power of analytics
You have team management experience (1+ year)
You are outgoing with good communication skills
You are Fluent in English

Data Analyst Product Analytics Resume Examples & Samples

Mine product data and turn them into understandable and actionable insights
Define and execute a stream of analysis and tests to inform and support the strategic roadmap for advertiser products
Master our internal analytic datasets and reporting tools, oversee the definition and maintenance of reports or dashboards to monitor our product KPIs
Train and support other analysts on best practices to analyze, troubleshoot and tune performance on your products or project
Support marketing teams in writing product business cases and best practices
2-4 years’ experience in an analytical role in Technology, Consulting or Finance
You will hold a degree or higher in Computer Science, Math, Statistics or quant economics
You have previous experience of problem solving end to end, in autonomy
You are versatile, self-driven, detail-oriented and hands-on
You are passionate about analytics, statistics and predictive approaches
You have a demonstrated interest in internet and technology; you’ll probably have used databases or have programming experience

Data Analyst, Workforce Analytics Resume Examples & Samples

Data driven insights and analysis for all stages of the human capital lifecycle that inform key decisions
Human capital consulting projects with our business lines to solve some of their most complex challenges
Statistical modeling and use of machine learning to forecast future workforce needs in order to engage in targeted workforce and business strategy planning
Industry leading data visualization tools and storytelling strategies to translate data analysis into tangible business impact
Surveys and qualitative research methods to understand employee behaviors in order to improve employee engagement and retention
Assist in performing analysis and regular reporting for key stakeholders including executives and senior leaders
Assist in developing presentations on metrics, reports, and analysis for senior-level audiences
Become knowledgeable in HR systems and reporting (both Workday and Jobscience); use that knowledge to drive system utilization, optimization of functionality, and efficiencies in business processes
Manage and field inbound data and customer service requests on behalf of the Workforce Analytics team
Background in business, finance/economics, information systems, computer science, math, statistics, or related field
Demonstrated advanced proficiency in MS Excel, PowerPoint
Demonstrated experience in solving a business problem using data
Trustworthy individual who displays professionalism and discretion in handling sensitive information
Proven ability to learn new tools, techniques, and skills
Experience finding multiple solutions to a complex problem
Proven ability to meet goals and deadlines
Experience working with HRIS systems
Demonstrated understanding of SQL or other relational database management systems
Demonstrated understanding of machine learning platforms

Data Analyst, Advanced Analytics Resume Examples & Samples

3+ years’ experience in data analytics, data science, and/or business intelligence role
Education in quantitative field with a deep understanding of experimental design and statistics
Extensive experience using SQL and scripting languages such as R, Python, etc
Expertise in business intelligence and visualization tools such as Tableau, etc
Experience in building linear and non-linear models including classification, regression, clustering, etc
Understanding of data engineering work including data warehousing and ETL processes a plus
Passionate about working with data and learning new analytical techniques
Exceptional critical thinker and problem solver with strong written and verbal communication skills
Proven ability to multitask and prioritize in a fast-paced environment
Team player with a positive attitude and strong interpersonal skills
Baseball knowledge and passion for the game a plus

Data Analyst, Advanced Analytics Resume Examples & Samples

Demonstrable experience working with database, storage, collection and aggregation models, techniques and technologies, with the ability to apply such methods to solve business problems
Experience in structured problem solving assignments
Experience working with PowerBI or Tableau and Excel

Senior Analyst Business Analytics & Data Products Resume Examples & Samples

Ability to learn industry frameworks, trends, competitive offerings, and client profiles
Apply analytics expertise within MT&DS including data cleansing, descriptive analysis, predictive analysis and visualizations
Execute ad-hoc projects to identify industry trends, customer impact of potential commercial changes and be able to deliver this and similar research in clear and business-focused formats
Work with and develop relationships with other business units globally to effectively analyze key client behaviors
Substantiate and reconcile reports with clear documentation. Resolve discrepancies independently and demonstrate a keen eye for numerical detail
Document and address information sourcing inconsistencies and inefficiencies
Actively work to expand customer view with value-added data
Own specific accountabilities including Inbound Data Management and other specific business line responsibilities

Analytics R&D Data Analyst Resume Examples & Samples

Create database views, functions, stored procedures to be used in conjunction with excel or other MS office products for end user reporting
Create Excel based utilities to work with Mosaic API and reports for CVA
Bachelor Degree in Scientific field including Natural Sciences, Data Science, Computer Science
2 years experience in Feed-related systems
3 years Database experience
Ability to work within a virtual team
Ability to communicate with instrumentation suppliers and Cargill different functions
3 years VBA experience
3 years C# experience
3 years Visual Studio Experience

Data Analyst, Analytics Resume Examples & Samples

Generally, 5+ years of experience with SQL and thorough understanding of relational databases
Strong proficiency with Microsoft SQL
Knowledge of best practices when dealing with relational databases
Experience with some of the modern relational databases
Skilled at optimizing large complicated SQL statements
Ability to working on cross-functional analytical projects
Ensure data quality through scenario-based testing
Strong knowledge of the Microsoft Office suite (Word, PowerPoint, Outlook, Excel, etc.)
Demonstrated ability to drive to deadlines, balancing multiple priorities, and ensuring quality standards
Excellent interpersonal, listening, oral and written communication skills
Ability to communicate technical details to technical and non-technical resources