- Regularly mine data from large SQL databases.
- Build models that lead to better insight and business understanding.
- Design and maintain reports/dashboards and track and communicate key performance indicators.
- Assure quality and data integrity for revenue and business development.
- Build logical and physical data models with Facts and dimensions, aggregates in Snowflake.
- Interact with data source owners and participate in developing project plan.
- Provide original insight beyond the scope of supporting reactive requests.
- Support ongoing analysis of business performance trends and insights required to inform decisions.
- Design and build new dashboards to monitor performance metrics; maintain existing dashboards for accuracy and incorporate changes in the business.
- Build a strong relationship with data engineering to understand data availability, accuracy, and consistency: comfortable providing specifications for data tracking and data warehouse needs.
- Proactively perform data exploration to Client actionable insights.
- Present your research and insight to all levels of the company clearly and concisely.
- Collaborate with IT team and other cross-functional systems teams during design and support implementation of business solutions.
- Responsible for designing, monitoring, measuring, and improving the quality of master data.
- Experience in data architecture, data modeling, designing, and data analysis with conceptual, logical, and physical modelling of OLAP and Snowflake data warehousing.
- Experience in Normalization of OLTP and denormalization of entries of Snowflake Data warehousing.
- Experience in Data governance and master data management.
- Experience in SQL, PL/SQL packages, functions, stored procedures, triggers.
- Experience in BI/DW solutions (ETL, Data mart, OLAP) and BI reporting tools like Tableau.
- Exposure to Oracle Fusion Cloud and SFDC functional areas.
- Exposure to Statistics, Econometrics, Data Science, and Machine Learning concepts and tools.
- Engineering/technical background analyzing large data sets.
- 5+ years of analytical experience and comfortable working with large data sets Excellent programming logic with comprehension of at least one scripting language (i.e., Python, JavaScript, C++, R, etc.)
- Experience as an analyst in the following areas: finance, accounting, QTC and non-QTC.
- Extensive experience with SQL in critical: additional experience with BI & visualization tools is a strong plus (i.e., Qlik, Tableau, Looker).
- Comfortable working with MS Excel and MS PowerPoint.
- Must be intellectually curious, eager to learn, self-motivated, detail-oriented, and able to multi-task.
- Able to operate with openness and efficiency with one or more SLDC methodologies (e.g., Scrum)
- Strong communication skills and ability to work collaboratively with cross-functional teams.
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Data Analyst
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Senior Data Analyst
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Senior Data Analyst
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Functional Data Analyst - San Francisco, United States - Diverse Lynx
Description
Role: Functional Data AnalystLocation: SFO, CA
Remote to start with
Client: DocuSign
Rate: $60/hr on C2C maximum or may be more, depending on experience.
H1s, $No Visa Sponsership$, GC
Job Description:
Our client is looking for a data analyst who can help drive business intelligence efforts and support the growth of the Business Process and Finance teams. This role provides an opportunity to serve the companys most interesting problems and develop new business strategies. Below are the activities that need to be supported: