About the position
The job overview for the Senior Data Analyst position at Brightflow AI is that the candidate will be instrumental in a small and fast-paced engineering team, taking ownership of their work in data experimentation and bespoke data analytics. They will spearhead prototyping of quantitative-driven product experiments, create bespoke data analytic dashboards, collaborate with team members to collect and analyze data, visualize data using graphs and infographics, and structure large data sets to find usable information. The role offers the opportunity to work on interesting problems in a place for growth, with a great culture and great people. The ideal candidate should have experience in data analytics, familiarity with statistics and data science methods, proficiency in Python, Pandas, Jupyter Notebooks, SQL, and Excel/Google Sheets, and excellent verbal and written communication skills.
Responsibilities
- Spearhead prototyping of quantitative driven product experiment with the data accrued on our data platform
- Create bespoke data analytic dashboard for internal teams and/or external clients
- Collaborate with team members to collect and analyze data
- Use graphs, infographics and other methods to visualize data
- Structure large data sets to find usable information
- Setup and enhance brightflow.ai’s data experimentation and analytic stack
Requirements
- 3+ years of experience in data analytics, familiar with statistics and data science methods
- Significant experience using Python, Pandas and Jupyter Notebooks, SQL, Excel/Google Sheets
- Experience with visualization tools (e.g., Tableau, Looker Studio, PowerBI, Hex)
- Excellent verbal and written communications skills with focus on concise and effective communication
- Resourceful, flexible and can think across multiple dimensions of a business (sales, product, marketing, etc.) and work cross-functionally to deliver results
- Customer (internal and external) oriented, can flex between different aspects of this job with ease
- Beneficial but not required: Experience with AWS Ecosystem including Glue, Athena and S3
- Beneficial but not required: Experience with machine learning, Interest in emerging technologies such as Large Language Models
- Beneficial but not required: Financial or accounting experience
- Beneficial but not required: General understanding of the e-commerce business model and drivers of financial viability
Benefits
- Warm and welcoming environment
- Opportunity for crossover into different areas of the business
- Support and assistance for personal and professional growth
- Inclusive and supportive culture
- High degree of ownership and autonomy
- Growth mindset encouraged
- Transparent and appreciative feedback
- Respect and empathy fostered