Business Intelligence Data Engineer
Job Details Description Business Intelligence Data Engineering Tommy’s is looking for a talented Business Intelligence Data Engineer to assist with the design and implementation of company Analytics Platform. You will be working closely with the existing team members in Software Development and Data Analytics to implement data modeling solutions in order to streamline and support current enterprise information management. You will also be tasked with building/adding to our existing data model and web-based analytics dashboards. What can Tommy's offer you?
- Base pay and eligibility for annual profit-sharing bonus
- Full insurance package including Health, Dental, Vision, Life, Disability, Employee Assistance
- 401k match and complimentary financial planning services with Rockefeller
- Paid time off and paid holidays
- Opportunity for continued education and tuition assistance
- Valuable learning and development program
- Significant ability to grow internally for motivated and strong performing team members.
- Fun, energetic, family-oriented work culture with an emphasis on team member morale
- Nationwide presence
- Translate business needs into scalable data models and solutions.
- Evaluate and improve existing data systems and architecture.
- Collaborate with business units and engineering teams to define long-term data platform strategy.
- Design and implement integrations, data pipelines, and data quality frameworks.
- Troubleshoot and resolve data-related issues.
- Enhance and or maintain any and all data quality, governance, and security standards.
- Ensure compliance with data privacy regulations (e.g., GDPR, HIPAA).
- Support the development of web-based analytics dashboards and BI tools, Power BI preferred.
- Bachelor’s degree in computer science, Mathematics, IT, or related field
- 2+ years of experience or related field.
- Strong experience with dimensional and relational data modeling.
- Proficiency in SQL and Python.
- Experience with cloud data tools (Databricks, Data Factory, ADLS Gen2, Synapse Analytics).
- Knowledge of statistics, data profiling, and data governance best practices.
- Strong troubleshooting, problem-solving, and communication skills.
- Ability to collaborate effectively with cross-functional teams.
- Demonstrated knowledge of marketing analytics, including key metrics (impressions, reach, CTR, CPC, opens), UTM tracking, attribution modeling, funnel analysis, and A/B testing
- Experience with customer data platforms (preferably Segment)
- Experience with AI/ML concepts and tools, including applying machine learning techniques to data modeling, predictive analytics, and business intelligence use cases.
- Experience with or knowledge of Agile Software Development methodologies
- Ability to effectively manage multiple projects.
- Remain in a stationary position 50% of the time.
- Able to work in a fast-paced environment.
- Able to move about inside the office to access file cabinets and office machinery, etc.
- Constantly operate a computer and other office productivity machinery such as; calculator, copy machine and printer.
- Able to effectively communicate, detect, converse with, discern, convey, express oneself and exchange information.
- Able to move equipment weighing up to 30 pounds.
- Able to work and commute in all weather conditions.
- Able to walk, bend, twist, turn, stoop, climb steps, reach with hands, use hands to fingers.
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