Data Analytics Analyst Job Description
Data Analytics Analyst Duties & Responsibilities
To write an effective data analytics analyst job description, begin by listing detailed duties, responsibilities and expectations. We have included data analytics analyst job description templates that you can modify and use.
Sample responsibilities for this position include:
Data Analytics Analyst Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Data Analytics Analyst
List any licenses or certifications required by the position: ITIL, C.P.I.M, C.P.M, SAS, PMP, CPA, CCBA, CBAP, CFA, CISA
Education for Data Analytics Analyst
Typically a job would require a certain level of education.
Employers hiring for the data analytics analyst job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Computer Science, Statistics, Mathematics, Business, Economics, Engineering, Finance, Math, Information Systems, Education
Skills for Data Analytics Analyst
Desired skills for data analytics analyst include:
Desired experience for data analytics analyst includes:
Data Analytics Analyst Examples
Data Analytics Analyst Job Description
- Demonstrate competence using Microsoft SQL and a thorough understanding of relational databases
- Help provide analysis on data discrepancies and issues
- Anticipate, identify, track and resolve issues and risks affecting the data
- Analyze, design and test break/fix requests and enhancements
- Analyze web traffic analytic systems and build on demand reports that provide insights for our web traffic across multiple applications
- Correlate web analytics with enterprise data system activities for end to end insight
- Derive core insights from data to suggest, create and execute fundamental improvements to the website experience
- Set-up attribution models to measure and analyze multi-channel effectiveness
- Serve as the subject matter expert on web analytics and stay abreast of industry best practices and new opportunities
- Define Data Requirements through interpretation of Business Requirements and/or direct interviews/requirements gathering
- Bachelor’s degree or Master’s degree in mathematics, statistics or actuarial science
- Direct experience with analysis of financial data such as loans, leases, credit cards, is required
- Extensive hands on knowledge of data-mining and business intelligent tools
- Experience in project and software development life cycles in preparation of project artifacts (eg
- Excellent organizational and documentation ability to create and maintain detailed documentation for data management practice and procedures
- With big data appliances and modeling tools
Data Analytics Analyst Job Description
- Possess or be working towards Hortonworks certification or equivalent
- Solid problem solving skills with the demonstrated ability to develop quick and sound solutions to resolve issues of moderate complexity
- Demonstrated technical and analytical skills, including the proven ability to understand and communicate complex technical information
- Work on data modeling, metric development, data prototyping, insights generation and recommendations using data mining and statistical techniques
- Own and deliver on multiple BI work streams, both on an ongoing and ad-hoc basis
- Untangle ambiguous problems and find the insights that drive operational, support and product excellence
- Assisting with larger projects, and managing work streams within key product focused projects
- Liaising with colleagues from across CPB to discuss and interpret product performance and devise solutions to meet their specific needs
- Harnessing the data gathering systems and capacity we have in Data & Analytics to provide clear and responsive data analysis, with tangible value and business focus
- Work with the business to interpret and influence their objectives and measure the performance against these objectives where required
- Understanding of Statistical analyses methodologies
- Ability to work in a collaborative work environment independently to drive results
- Thrives in a fast-past, can-do attitude
- BS or MS in Computer Science, Engineering, Mathematics, Science or equivalent work experience
- 3-5 years of experience building data warehousing or analytics solutions
- Demonstrated success in a performance-critical environment
Data Analytics Analyst Job Description
- Direct and verify implementation of mathematical procedures
- Support customers with business and/or technical questions
- Design, develop and maintain FP&A’s source-of-truth data pipelines, useful roll-up tables and reporting interfaces/dashboards focused on revenue
- Advocate efficient data reporting methodologies using leading practices
- Identify opportunities for continuous improvements to processes and operations
- Act as a technical resource for financial analysts and cross-functional team members to assist in their reporting needs
- Interact with trading, investors, and Information Technology to resolve pricing model and market data issues
- Guide the development of key data/analytics processes by supporting, prioritizing, defining, and gathering needs for the cross-functional projects
- Drive strategy for customer acquisition, loyalty and conversion by developing models, personas, forecasts, scores/indices to meet short/long term client objectives/goals
- Interpret analytics driven insights and recommend approaches and solutions that are relative to the strategic objectives of the project and stakeholder needs
- Reporting packages (e.g., Business Objects, SpotFire)
- 2-4 years proven working experience as a data analyst required
- Experience in reconciliation analysis and data analysis
- Subject matter expertise in data quality development
- Experience with Adobe Analytics, Tealeaf, and SiteSpect
- Bachelor’s degree in quantitative field like Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Operations Research or related field required
Data Analytics Analyst Job Description
- Develop project timelines together with the ODA Programmer
- Produce analytic deliverables, including full study reports for observational database analyses and evidence synthesis projects
- Enforce quality standards with the ODA Programmers
- Collaborate with RWE Center of Excellence (CoE) to drive quality and accuracy of deliverables
- Contribute to the development of department-level standards, tools and templates
- Support and contribute to standardization techniques in order to increase efficiency in deliverables
- Help on-board new team members, as appropriate, and complete special projects as assigned
- Analyzes and interprets various types of data using a variety of statistical methods
- Reports results of statistical analyses in the form of graphs, charts, and tables
- Uses agile software development practices to collaborate and coordinate with stakeholders
- Knowledge of RapidMiner/Python/R is preferred
- Minimum two to three years as a strong practitioner of the business analytical skillset with strong focus on HR related processes
- Knowledge of core HR functions and disciplines preferred
- Strong technical skills, understanding of data sources and ability to use systems to acquire necessary data
- Master’s Degree or foreign equivalent in Information Technology, Computer Science, Engineering, or related field
- Experience with developing predictive models for customer lifetime value and churn analysis
Data Analytics Analyst Job Description
- Prepare materials needed for various meetings
- Perform advanced statistical modeling in R, SPSS, or SAS, and interpret results and apply findings to solve business challenges
- Utilize Machine Learning to predict employee behavior to aid in strategy setting and decision making
- Provide recommendations on how to structure statistical analysis and how to leverage Machine Learning
- Perform analysis and regular reporting for stakeholders across the business with minimal supervision
- Develop presentations on metrics, reports and analysis with minimal supervision
- Continuous research and learning of new industry trends in Workforce / People Analytics
- Independently lead projects and report findings directly to clients
- Find and incorporate external data sources to enhance client data
- Find and document innovative ways to analyze and present the data, and to improve the processes (speed-reliability-cost-communication)
- Fluent in Excel, SQL, R, Python
- SAS or SQL experience required, certification preferred
- Proven ability to work effectively in a team environment independently with minimal supervision
- Information Technology, Business degree or equivalent work experience
- Expertise working with relational databases or Hadoop/Spark frameworks tools
- Strong SQL, Hive, or Pig skills