Job description
As a Data Analyst/Steward within the Data Services team, you will be responsible for identifying/locating, analyzing, documenting, managing, reporting and testing existing customer and other data across multiple databases and platforms. This role will serve as a data steward and a point person to answer questions about where and how to locate the data such as customer profiles, interaction history, preferences, segments, and audiences, etc. as part of the customer data platform. The is a key role in pursuit of our omnichannel personalized customer experience objective.
Perform data research and analysis, and be resourceful to locate, understand and document details:
- Act on cases and provided case summaries for referral to relevant groups for follow-up review and action.
- Develop analytics to identify trend lines across several data sources within the organization.
- Work with operational teams to identify the most accurate and consistent data standards, and ensure these standards are followed in data entry.
- Lead the ongoing management and development of data quality and identification and workflow tools.
Enforcement of data management and data governance rules:
- Convert business requirements to functional requirements, drive scope decomposition.
- Process unstructured data into a form suitable for analysis - then do the analysis.
- Utilize historical trends to identify business control weakness/deficiency and emerging risks.
- Assist in optimizing the data workflow.
- Identify and develop continuous monitoring opportunities using data analytics.
- Independently and accurately document, evaluate, and communicate the results and conclusions of all work performed.
- Conduct and effectively handle special assignments for management as requested.
MINIMUM SKILLS REQUIRED:
- BA degree or higher in an analytical or data driven discipline, or equivalent work experience.
- A minimum of 1 year analytics experience in handling a database with large datasets.
- Familiarity/knowledge of data analytics tools and techniques.
- Able to understand various data structures and common methods in data transformation.
- Ability to work under tight schedules, and effectively manage and prioritize multiple work assignments
- Excellent oral and written communication skills.
- Strong analytical and problem-solving skills.
- Self-motivated and creative thinker, with attention to detail
- To be able to work in team-oriented environment.
Job Type: Full-time
Schedule:
- 8 hour shift
Education:
- Bachelor's (Preferred)
Experience:
- Data analysis skills: 2 years (Preferred)
- Power BI: 1 year (Preferred)
- Python or R: 1 year (Preferred)
Work Location: One location
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