Data Analytics Senior Job Description
Data analytics senior
provides thought leadership around data integration, data science, AI & machine learning, Cloud, real time streaming (Kafka), CDC, NoSql database (MongoDB) and data warehousing technologies.
Data Analytics Senior Duties & Responsibilities
To write an effective data analytics senior job description, begin by listing detailed duties, responsibilities and expectations. We have included data analytics senior job description templates that you can modify and use.
Sample responsibilities for this position include:
Acquire data (i.e., extract, transform, load process)
Lead the research and development of statistical and machine learning models for analysis or to power production systems
Define audit objectives
Determine what analytics are relevant in achieving the audit objectives
Design the analytics and determine the logic
Determine the definition of "exception"
Identify relevant IT systems and assess availability and quality of data
Develop analytics (i.e., script, program)
Run analytics and perform initial validation of results to identify data and/or logic flaws
Confirm the results of the analytics support achieving the audit objectives and revise, abandon or rerun analytics as necessary
Data Analytics Senior Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Data Analytics Senior
List any licenses or certifications required by the position: CPA, CFE, SQL, CEDS, CIA, CISA, BI, CFA, CISSP, ITIL
Education for Data Analytics Senior
Typically a job would require a certain level of education.
Employers hiring for the data analytics senior 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, Engineering, Finance, Business, Economics, Information Systems, Accounting, Science
Skills for Data Analytics Senior
Desired skills for data analytics senior include:
Modern statistical learning methods
Machine learning
Business operational
Cloud computing
Data warehousing
Decision science
Delivery
Econometrics
Operations research
Process
Desired experience for data analytics senior includes:
You excel at developing solid experimental designs to answer unforeseen innovation questions
You are adept at transforming data into results into business strategy
Strong background in statistics and experimental design
Ability to query data sources directly (SQL, Pig, Python)
Ability to use R (or another statistical package)
An educational background (graduate level) in a quantitative field, preferably with a unique blend of behavioral and quantitative studies
Data Analytics Senior Examples
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Data Analytics Senior Job Description
Job Description Example
Our company is growing rapidly and is looking for a data analytics senior. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for data analytics senior
- Own execution and delivery of analytical projects and insights to internal business partners and presenting to the leadership
- Direct a team of 1 to 2 senior business analysts and vendor/partner resources, guiding them in the analytical process and the development of business and/or customer insights to personalization plans, merchandising strategies and decisions
- Drive innovation by exploring new statistical techniques that could sharpen or speed up our product decision-making processes
- Provide project support by gathering, correlating and analyzing source data for project and migration activities
- Provide analytical due diligence for acquisition and new business opportunities
- Provide appropriate service to clients as outlined in the Service Catalogue, operations/technical support, SLAs, hours of operation
- 80% data analytics/projects/initiatives
- Experiment with new technologies and computing paradigms to enable us to get faster and better
- Partnering with internal customers
- Prototype and productize data feeds that will be used in downstream predictive models
Qualifications for data analytics senior
- 5 years of working in a related field
- Model data structures in the cloud and databases such as Teradata and Redshift to enable robust insights
- Work with Analysts, business users and engineering teams to create scalable business intelligence (BI) tools and provide meaningful insights
- Working experience with Mapreduce, Scala, Spark, Storm, Hadoop, Pig, Hive, Presto
- Experience with real time processing is a huge plus
- Coding experience preferably in Python or Java or Scala
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Data Analytics Senior Job Description
Job Description Example
Our growing company is hiring for a data analytics senior. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for data analytics senior
- Implement an Agile development process for on-going projects or ad-hoc requests
- Execute solutions to business problems using data analysis, data mining, optimization tools, statistical modeling and machine learning techniques
- Have a high sense of urgency to deliver projects remove roadblocks to make on time delivery dates
- Collaboratively work with Data Science, Machine Learning, IT, & Product teams in an agile environment, to meet stakeholder deadlines
- Lead development of hypothesis driven customer growth strategies through the use of data, analytics, industry findings, and cross functional partnership
- Leverage data and analytics to identify and develop innovative and out-of-the-box personalization strategies to test across customer cohorts, this may include new types of offers, multi-channel contact cadence, messaging, external partnerships, etc
- Partner with cross functional teams on customer growth and execution teams to launch these strategies and close loop performance management, this may include test design, measurement methodology and adhoc campaign performance analysis
- Leverage analytics to support next generation loyalty program design
- Conduct hypothesis-driven analysis within customer cohorts that surface growth opportunities for merchandising partners --- this may include helping rethink assortment, localization, circular strategy, vendor opportunities, and more…
- Help and direct others on projects, including project management, business problem solving, guidance on methodologies and quality assurance of results
Qualifications for data analytics senior
- MapReduce/HIVE/Pig experience (Bonus points if you’ve worked with Amazon’s EMR.)
- Python/Perl/Java/C++ (Experience in .)
- An appreciation for app development, web sites, and software development
- You have an exceptional ability to communicate technical results to a wide variety of audiences
- Ability to work in a dynamic organization with minimal documentation and processes
- MS/BS in Computer Science, MIS or relevant work experience
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Data Analytics Senior Job Description
Job Description Example
Our company is hiring for a data analytics senior. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for data analytics senior
- Define, track and report key metrics to measure global demand center activities and impact
- Develop, provide, and participate in monthly business performance and quarterly business performance reviews providing key results and insights for corporate and regional reviews
- Ongoing analyses to assess global demand center efforts and provide strategic input to stakeholders Connect findings and recommendations to business initiatives and collaborate with key stakeholders at various management levels
- Work with finance experts, data scientists and data engineers in the Content org to develop metrics and analytical approaches which capture the nuances of content performance and value
- Translate ad hoc questions into robust methodologies that scale to answer broad strategy questions across the organization
- Be a bridge between the business and tech, enabling insights that can empower better decision-making
- Be comfortable outside of your comfort zone - explore new tech, make your own tools, or find a new ways to address an old problem
- Focus on impact - delivering results quickly with iteration, instead of waiting for perfection
- Sets a clear vision for the HR/Procurement/Finance Data & Analytics product line and is responsible for multi-generation product strategy and maximizes ROI by identifying and prioritizing the product features by business value
- Responsible for creating & aligning End-to-end global ETCS Data Analytics Strategy with strategic business intent and establishing the IT roadmap
Qualifications for data analytics senior
- Experience with Design, development and evaluation of highly innovative models for predictive learning
- Experience with distributed databases and query languages like Hive/Pig and/or general map reduce computing is a plus
- Knowledge of common data structures and ability to write efficient code in at least one language is a plus (preferably Python, Java or Perl)
- Expert experience working with SAS, SQL, Excel, MS Access, SQL server and mainframe application
- You are a well-rounded, top performer who is able to "crunch the numbers" and think critically through strategic issues
- You work hard, and you have healthy boundaries
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Data Analytics Senior Job Description
Job Description Example
Our company is growing rapidly and is looking to fill the role of data analytics senior. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for data analytics senior
- Accountable for the Total Cost of Ownership (TCO) of the Data & Analytics product line and driving increased leverage of the products across various business groups including leverage with other sector-based Data & Analytics teams
- Responsible for providing analytics solutions to influence decision making at senior levels of the organization utilizing agile methodology to deliver incremental business value
- Responsible for the design and management of the information and data & solution architecture, across multiple data types (structured, semi-structured and unstructured), balancing the need for access against security and performance requirements
- Connect with key Business / IT stakeholders in identifying the business’s priorities and product needs, negotiate with business to determine whether story points are built or backlogged & align IT capacity with top business priorities
- Develop/Incorporate data management capabilities (data/analytics governance, master/reference data, metadata, and data quality) as a foundation for improved consistency and understanding of data for analytics
- Drive the definition of technical standards and guidelines that pertain to data and information use, security, access and governance (including defining accountabilities in support of data quality mandates)
- Influence teams at all levels of ETCS and business organization on Big Data technologies, architectures and implementation patterns
- Responsible for introducing innovative techniques and methodologies that will help the business better understand the competitive landscape, improve execution, and optimize performance
- Candidate should be able to act as a change agent and have a high tolerance for ambiguity and an ability to think creatively
- Encourage development and sharing of internal best practices and foster collaboration with internal and external team
Qualifications for data analytics senior
- Programming proficiency in at least one major language (Java, Scala, C++, even Fortran!)
- Is capable of writing ACL, SQL and SAS code and operational knowledge of other programming and scripting languages like C++, Perl, visual basic
- A minimum of 5 years of relevant quantitative, analytical, or statistical work experience for example
- Exposure to big data structures and tools
- BS/BA in Statistics, Economics, Finance, Mathematics, or Engineering is preferred
- Advanced Excel and PowerPoint skills, familiarity with Power BI or Tableau preferred
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Data Analytics Senior Job Description
Job Description Example
Our growing company is looking for a data analytics senior. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for data analytics senior
- Collaborate with subject matter experts, product management, data scientists and engineering to enhance and shape our delivery of procurement services to the market
- Prioritizes all projects and products for team and ensures their timely and accurate delivery
- Perform routine reporting and ad hoc analysis of labor productivity, operational metric and other management reports, financial analyses, performance management reporting and corporate presentations for internal and external use, and assist with developing and using statistical modeling for accuracy in forecast improvements
- Ability to analyze data hands on, understand business functions, and generate data insights to enable decision making
- Excellent project management skills are needed to manage a portfolio of analytics projects
- Multiple years of professional services/consulting experience
- Help build analytics center of excellence for transforming data into insights and create understanding throughout CSG on how to leverage this asset
- Experience in coordinating teams across multiple geographies and time zones
- Demonstrate strong communication and presentation skills, including the ability to articulate and facilitate discussions effectively across disciplines in a stakeholder-appropriate manner
- Experience developing Change Management plans/timelines
Qualifications for data analytics senior
- Subject matter expertise in demand generation marketing, Sirius Decision marketing lead generation frameworks and measurement preferred
- 7-10 years of experience in decision support analytics with proven ability to drive results and take on expanding responsibilities
- Strong communication skills, both verbal and written… present results in meaningful terms and instills confidence in recommendations
- Relevant experience in various verticals such as Discrete Manufacturing, Healthcare, Oil and Gas, Financial Services
- Graduate level degree required (Masters preferred) with background in Statistics, Economics, Mathematics, Engineering, or similar quantitative discipline
- 15+ years of overall software engineering experience with 10+ years of experience with advanced statistical techniques, including concepts of machine-learning, predictive modeling, and business intelligence