Senior Data Analyst

Description

A senior analyst role that links business needs to data solutions, covering business cases, data quality, reporting, visualization and data governance.

You will work across the team and with business stakeholders, and help run exploratory analysis projects.

Responsibilities

• Build business cases for projects that show a projected return on investment or cost savings.
• Turn business requirements into projects, activities and tasks that fit the overall strategy, and produce domain-specific artifacts.
• Act as the link between business needs and practical solutions and results.
• Spot and suggest useful business insights in your area.
• Help the team understand the priority order of requirements and service level agreements.
• Find the best-fit data source for each need.
• Run first-pass quality checks on extracted data.
• Create graphical representations of data and model outcomes, choosing suitable visualization techniques for complex data and tools such as Python, R libraries, ggplot, Matplotlib, Plotly, Tableau and Power BI.
• Design data representations that meet customer needs across several datasets.
• Work with UX designers and UI engineers when front-end applications need building.
• Present to the team and business audience, adjusting your style to each stakeholder and backing points with reasoning.
• Profile, analyze and assess data quality, test and validate quality requirements, and measure and monitor quality on an ongoing basis.
• Meet data quality service level agreements and run the routine procedures for data quality.
• Handle data quality issues, lead cleansing work to fix defects, and remove unused data.
• Decide who can access data and remove or limit access where needed.
• Interpret company and regulatory data policies and teach others about governance processes, practices and guidelines.
• Collect and tabulate data for exploratory analysis, judge accuracy, validity and applicability of results, and help choose statistical methods as leadership directs.
• Help plan, design and carry out exploratory data analysis research projects.

Requirements

• A master's degree or equivalent in business, analytics, engineering, computer science or a related field; or a bachelor's degree or equivalent in one of those fields plus 2 years of experience in data analysis, data science, statistics or a related area.
• Hands-on experience building data quality assessment frameworks that measure critical data elements against DQ standards and acceptable thresholds.
• Experience creating data profiling solutions, running analysis jobs, reviewing results, and building and managing data quality controls with data quality tools.
• Understanding of data quality concepts for profiling, quantifying and managing quality.
• Ability to write business rule descriptions and define detailed rule logic by asking business partners the right questions.
• Experience with data extraction and transformation, dashboard generation, and querying and analysis.
• Experience collaborating with teams to develop solutions.
• Experience with user access permissions, data governance, and row-level security in reports.
• Experience developing and optimizing SQL stored procedures.
• Experience with the SSRS reporting process, SSIS ETL in Visual Studio, and Power Query and Power Automate.
• Knowledge of KDD tools and scripting languages, including SQL, Oracle, Apache Mahout, MS Excel and Python, plus SAS and DB as relevant tools.
• Familiarity with statistical techniques such as mean, mode, median, variance, standard deviation, correlation, sorting and grouping.
• Knowledge of research analysis standards, documentation practices such as drafting, editing and bibliography format, and KDD industry best practices and trends.
• Any amount of experience with the required skills is accepted.

Conditions

Based at 811 Excellence Dr., Bentonville, AR 72716.

Pay is $110,302.00 to $155,000.00 per year, with additional compensation through annual or quarterly performance incentives.

Eligibility for some benefits depends on job classification and length of employment, and benefits can change and may follow specific plan or program terms.

Details on benefits and eligibility are available from the company.

The company is an equal opportunity employer.

The company is a drug-free workplace with zero tolerance for illegal drugs and alcohol on the job, applying to all employees.

Benefits

• Competitive pay plus performance-based incentive awards.
• Medical, vision and dental coverage.
• 401(k), stock purchase and company-paid life insurance.
• PTO including sick leave, parental leave, family care leave, bereavement, jury duty and voting time.
• Short-term and long-term disability.
• Education assistance covering 100% of college degrees, paid by the company.
• Company discounts, military service pay and adoption expense reimbursement, among others.