Company:
HexaQuEST Global
Location: Durham
Closing Date: 02/08/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Must-Haves:
6+ years of experience in Data Analysis
Strong SQL skills, including the ability to create DDL (Data Definition Language) and proficiency in testing and learning DDL
Experience in creating data pipelines and jobs in Snowflake for data curation
Domain experience, preferably in financial services (prior experience with Fidelity or its competitors)
Problem-solving skills with the ability to translate data into visualization and scalable solutions
Excellent communication skills, proactive approach, attention to detail, and curiosity
Ability to read and understand Alteryx, Snowflake SQL, Power BI, and Tableau
Proficiency in creating user stories and strong documentation skills
Day-to-Day Responsibilities:
Lead the development of Workplace Investing data consumption layer strategy, particularly in migrating from Oracle to Snowflake
Act as a liaison between Product and Engineering teams, facilitating requirements understanding and logic for data tables
Assist in translating consumer needs into visual outputs, guiding data engineers and modelers in data transformation
Understand data modeling principles and create dashboards, wrangle data for visual tools, and ensure data cleanliness for analytics
Influence the final results by transforming existing data into cleaner tables, focusing on scalable and repeatable solutions
Ensure understanding of consumer needs and data characteristics to develop solutions in the most suitable format
6+ years of experience in Data Analysis
Strong SQL skills, including the ability to create DDL (Data Definition Language) and proficiency in testing and learning DDL
Experience in creating data pipelines and jobs in Snowflake for data curation
Domain experience, preferably in financial services (prior experience with Fidelity or its competitors)
Problem-solving skills with the ability to translate data into visualization and scalable solutions
Excellent communication skills, proactive approach, attention to detail, and curiosity
Ability to read and understand Alteryx, Snowflake SQL, Power BI, and Tableau
Proficiency in creating user stories and strong documentation skills
Day-to-Day Responsibilities:
Lead the development of Workplace Investing data consumption layer strategy, particularly in migrating from Oracle to Snowflake
Act as a liaison between Product and Engineering teams, facilitating requirements understanding and logic for data tables
Assist in translating consumer needs into visual outputs, guiding data engineers and modelers in data transformation
Understand data modeling principles and create dashboards, wrangle data for visual tools, and ensure data cleanliness for analytics
Influence the final results by transforming existing data into cleaner tables, focusing on scalable and repeatable solutions
Ensure understanding of consumer needs and data characteristics to develop solutions in the most suitable format
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