Senior Analyst, Data Analytics Job Description

Senior Analyst, Data Analytics Job Description

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Senior analyst, data analytics provides insights about providers and network using analytical tools such as Excel, R or Python.

Senior Analyst, Data Analytics Duties & Responsibilities

To write an effective senior analyst, data analytics job description, begin by listing detailed duties, responsibilities and expectations. We have included senior analyst, data analytics job description templates that you can modify and use.

Sample responsibilities for this position include:

Partner across GRC team to identify data sources and develop processes to efficiently access data for analysis purposes
Experience in manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources using SQL and Python
Have a deep understanding of MS Access and running queries
Perform analysis on wide variety of data and process improvement opportunities
Provide decision-support to engineers and managers by creating reports, running queries, building predictive models - really doing whatever it takes - to support the analytical needs
Provide expert advice and education in the usage and interpretation of the data
Effectively translate analytical findings into the language of decision makers
Design, build, and maintain all parts of the data warehouse infrastructure to support analysis (requirements gathering, ETL, data modeling, metric design, reporting/dash boarding)
Work with the business leaders and stakeholders to understand their strategies, how they align with the corporate strategies and determine ways to use analytics to help them in decision making
Work across business units, and define, develop analytic capabilities that can be leveraged to solve cross business unit challenges

Senior Analyst, Data Analytics Qualifications

Qualifications for a job description may include education, certification, and experience.

Licensing or Certifications for Senior Analyst, Data Analytics

List any licenses or certifications required by the position: CPA, SAS, CFA, PMP, APICS, CIA, CISA, CRCM, CCBA, CBAP

Education for Senior Analyst, Data Analytics

Typically a job would require a certain level of education.

Employers hiring for the senior analyst, data analytics 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, Engineering, Business, Mathematics, Finance, Economics, Math, Science, Accounting

Skills for Senior Analyst, Data Analytics

Desired skills for senior analyst, data analytics include:

Application of concepts
Principles
Technical capabilities to perform varied tasks
Using Statistical packages
R
Access
Analytical methods
Python
Tools and databases
Verizon network and systems and communicating / collaborating with team

Desired experience for senior analyst, data analytics includes:

Document Business Acceptance Test strategy, and perform acceptance testing on behalf of the business
A bachelor’s degree, strong applied math and statistics skills, and at least 2 years in marketing analysis are required
Support the analytic needs of various business units, help them with prioritization to deliver the most value
Leverage and extend existing Business Intelligence and analytics infrastructure
Take metric governance and enterprise solutions into consideration
Are scalable, repeatable and effective

Senior Analyst, Data Analytics Examples

1

Senior Analyst, Data Analytics Job Description

Job Description Example
Our company is hiring for a senior analyst, data analytics. 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 senior analyst, data analytics
  • Data Investigation and analysis from a variety of sources to identity key data issues and gaps and conduct root cause analysis as required
  • Proactively recommend technical data solutions for optimizing existing processes especially
  • Provide intelligence based reports and analysis to management to drive strategic initiatives
  • Analyze Payment processing performance and identify optimization efforts
  • Drive weekly meetings on changes in metrics trends and identify cause
  • Write analytical stories and build cool visualizations that provide actionable recommendations
  • Partner with business partners, statisticians and engineers on rolling out A/B tests for Payments and deep dive on results
  • Hive and other cloud tool experience is strongly preferred
  • Tableau experience is preferred, but experience with other reporting tools is a good substitute
  • Experience with quantitative techniques such as statistics and data mining is preferred
Qualifications for senior analyst, data analytics
  • Lead/execute data/business analysis using various internal data sources to support the understanding of business banking customers, business drivers and the financial results
  • Be actively involved in effective coaching discussions so you can gain the most satisfaction from your chosen career
  • Ability to demonstrate effective communication techniques such as communicating complex business problems and solutions in clear, simple language
  • Develop data quality metrics and come up with tools to proactively detect, correct and prevent invalid data values
  • Some experience working with web analytics tools such as Adobe Analytics, Google Analytics, WebTrends, KissMetrics, or Coremetrics
  • A strong understanding of web and mobile technologies
2

Senior Analyst, Data Analytics Job Description

Job Description Example
Our company is growing rapidly and is looking for a senior analyst, data analytics. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.
Responsibilities for senior analyst, data analytics
  • Perform complex modeling for pricing approvals for contract reviews
  • Work closely with the business to understand business areas of risks and opportunities and report performance objectives in accordance with internal controls
  • Work with the finance experts, data scientists and data engineers in the Content org to develop metrics & analytical approaches to understand nuance around title performance and find what to look for our next great Original
  • Be comfortable outside of your comfort zone - explore new tech, make your own tool, or find a new way to address an old problem
  • Provide support in improving the performance management system for increased efficiencies and mission effectiveness of VA's OI&T
  • Data Analytic SA will work with the engagement team to support the design, development, and deployment of tailored matrices
  • Support the development of data dictionaries outlining all key aspects of the organization's key performance measures and defining performance requirements and standard operating procedures
  • Develop tools to automate analysis of large data sets from multiple data sources
  • Data Analytic SA, under the guidance from senior engagement leads, will help OI&T integrate the dashboards and underlying data collection processes within OI&T operations
  • Acquire, manage, and analyze diverse data sets from a variety of internal and external suppliers
Qualifications for senior analyst, data analytics
  • Extensive experience using SQL for analytic research, in Hive or MPP databases like Teradata
  • Extremely competent in performing business analysis with experience working on very large data sets
  • Experience with analytical tools supporting data analysis, reporting and visualization like Tableau or other data viz tools
  • Advanced degree or certifications preferred
  • Experience using a large, sophisticated reporting system
  • Experience in SQL tuning, data validation, ETL process logical, physical, and semantic data modeling
3

Senior Analyst, Data Analytics Job Description

Job Description Example
Our company is looking to fill the role of senior analyst, data analytics. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.
Responsibilities for senior analyst, data analytics
  • Partner with IT and various business functions to transform acquired data into leverageable database data source
  • Apply business critical thinking by analyzing complex data sets and building reporting/insights/visualization to support global business partners
  • Make business recommendations on data and insights requirements for various Business Intelligence solutions
  • Establish formal, automated business processes and protocols to ensure acquired data quality, timeliness, and accuracy
  • Maintain data dictionaries and protocol documentation
  • Partner with IT and various business functions to do data discovery and provide recommendations on data architecture and requirements
  • Partner with Global Data Governance to evolve and support global databases
  • Utilize data tables, create logical source-to-target mappings, illustrate processes, data and Information flows
  • Interact with various business groups, including Sales, Technology, Finance, Business Development, and senior management to set the learning agenda for Digital Media and Ad Sales performance
  • Manage data collection and data quality
Qualifications for senior analyst, data analytics
  • Ability to show examples of previous analytical / data visualization projects will be an as
  • Experience developing dashboards, large databases, and data collection systems
  • Knowledge of database solutions such as SQL/Oracle is required
  • Knowledge of Tableau and data transformation tools such as Alteryx or Informatica is required
  • Past experience working with HR applications is a plus
  • Past experience in Financial industry is a plus
4

Senior Analyst, Data Analytics Job Description

Job Description Example
Our company is growing rapidly and is hiring for a senior analyst, data analytics. 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 senior analyst, data analytics
  • Create and maintain weekly and monthly reports for measuring performance
  • Leverage data to guide Sales and Strategy Leadership to maximize revenue potential and to achieve annual revenue targets
  • Work with the finance experts, data scientists and data engineers in the Content org to develop metrics & analytical approaches to understand nuance around content performance and find what to look for in our next great Original
  • Process and improve data sourcing
  • Support Business Analytics initiative
  • Manage and train junior data/platform analyst
  • Build an advanced knowledge an complex topic
  • Stay up to date and maintain the expertise
  • Strenghten a relationship with other specialist (i.e product team and other local AX (BD / T1 / other MMS regions))
  • Give to the management actionable updates, recommandations and advices (being a referent and a consultant)
Qualifications for senior analyst, data analytics
  • 3+ years experience performing quantitative analysis, preferably in a marketing capacity
  • Experience with Business Intelligence tools (Tableau, Cognos, Business Objects)
  • Work with project stakeholders to identify business needs and gather requirements for data analysis or deployment of existing BI tools
  • Work with the project stakeholders to identify business needs and gather requirements for data analysis or deployment of already existing advanced analytics solutions and BI tools
  • Manages work module independently on projects with case teams, ensures execution and is responsible for overall quality
  • Leads the communication and manages workflow to ensure case team satisfaction
5

Senior Analyst, Data Analytics Job Description

Job Description Example
Our company is growing rapidly and is looking to fill the role of senior analyst, data analytics. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for senior analyst, data analytics
  • Update sales and product hierarchy throughout the data platform, as needed or requested
  • Assist with researching account hierarchy and required data fields throughout the data platform
  • Using information and insights to drive efficiency, grow revenue and introduce innovation to their market offering
  • Helping digitise the client service team products
  • Bringing new ideas and initiatives that will continually help transform our practice for today and beyond
  • Expanding your tax knowledge on the global equity and rewards industry and become a tax professional with analytics focus
  • Supporting in automating a range of internal and external clients’ issues relating to their equity compensation withholding and reporting obligation in Australia and globally
  • Partners with business and IT stakeholders to identify, prioritize, manage and implement strategic data insights and advanced analytics initiatives
  • Collaborates with Data Analytics teams to ensure execution of key business initiatives based on understanding of drivers, requirements, scope and timeline
  • Develops and validates evaluation metrics and models to analyze initiatve performance and identify areas of opportunity
Qualifications for senior analyst, data analytics
  • Bachelor degree in Statistics, Economics, Operations Research, Applied Math, Computer Science or related quantitative field
  • Advises and shares knowledge with other Analysts
  • Excellent understanding of retail banking / small business / consumer finance products and business life-cycles
  • Previous experience researching and developing market views
  • Act as a ‘product manager’ for their domain - going beyond simple requirements elicitation and defining solutions that anticipate future needs, leveraging knowledge of where the industry is going, future-proofing our investments in the data space
  • Perform the traditional functions expected of a Business Analyst - elicit requirements via user stories and rapid prototyping

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