Job Description

Position Summary...

What you'll do...

Data Source Identification: Supports the understanding of the priority order of requirements and service level agreements. Helps identify the most
suitable source for data that is fit for purpose. Performs initial data quality checks on extracted data.
Problem Formulation: Translates business problems within one's discipline to data related or mathematical solutions. Identifies what methods (for
example, analytics, big data analytics, automation) would provide a solution for the problem. Shares use cases and gives examples to demonstrate
how the method would solve the business problem.
Data Strategy: Understands, articulates, interprets, and applies the principles of the defined strategy to unique, moderately complex business
problems that may span one or main functions or domains.
Data Quality Management: Promotes and educates others on data quality awareness. Profiles, analyzes, and assesses data quality. Tests and
validates data quality requirements. Continuously measures and monitors data quality. Delivers against data quality service level agreements.
Manages operational Data Quality Management procedures. Manages data quality issues and leads data cleansing activities to remove data quality
defects, improve data quality, and eliminate unused data. Determines user accessibility and removes or restricts user access as needed. Interprets
company and regulatory policies on data. Educates others on data governance processes, practices, policies, and guidelines.
Data Visualization: Generates appropriate graphical representations of data and model outcomes. Understands customer requirements to design
appropriate data representation for multiple data sets. Works with User Experience designers and User Interface engineers as required to build front
end applications. Presents to and influences the team and business audience using the appropriate frameworks and conveys clear messages through
business and stakeholder understanding. Customizes communication style based on stakeholder under guidance and leverages rational arguments.
Guides and mentors junior associates on story types, structures, and techniques based on context.
Applied Business Acumen: Provides recommendations to business stakeholders to solve complex business issues. Develops business cases for
projects with a projected return on investment or cost savings. Translates business requirements into projects, activities, and tasks and aligns to
overall business strategy. Serves as an interpreter and conduits to connect business needs with tangible solutions and results. Recommends new
processes and ways of working.
Exploratory Data Analysis: Collects and tabulates data and evaluates results to determine accuracy, validity, and applicability. Supports the
identification and application of statistical techniques based on requirements. Applies suitable technique under direction from leadership. Assists in
the planning, design and implementation of exploratory data analysis research projects. Understands existing statistical models and identifies and
recommends statistical models based on hypothesis. Uses advanced Knowledge in Data Discovery tools to write queries and analyzes data to
identify patterns, trends, outliers, and correlations. Conducts statistical experiments(for example hypothesis tests, confidence intervals) and builds
basic statistical models using packages like Statistical Analysis Systems(SAS).
Drives the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business
plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring
progress and adjusting performance accordingly; developing contingency plans; and demonstrating adaptability and supporting continuous learning.
Provides supervision and development opportunities for associates by selecting and training; mentoring; assigning duties; building a team-based work
environment; establishing performance expectations and conducting regular performance evaluations; providing recognition and rewards; coaching
for success and improvement; and ensuring diversity awareness.
Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity by training and providing direction to
others in their use and application; ensuring compliance with them; and utilizing and supporting the Open Door Policy.
Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives; consulting with business
partners, managers, co-workers, or other key stakeholders; soliciting, evaluating, and applying suggestions for improving efficiency and costeffectiveness; and participating in and supporting community outreach events.



Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 3 years' experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 1 year's experience in data analysis, data science, statistics, or related field. Option 3: 5 years' experience in data analysis, data science, statistics, or related field.



Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, data analysis, statistics, or related field, Masters degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau), Supervisory experience