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Data Analyst

Career Search Partners

Submit a resume through Jobify

Career Search Partners Career Search Partners

  • New York
  • LinkedIn
LinkedIn

Data Analyst

Career Search Partners

Submit a resume through Jobify

Career Search Partners Career Search Partners

  • New York
  • LinkedIn
LinkedIn

Rapidly growing, prominently backed FinTech firm seeks Data Analyst to work in company that’s revolutionizing a massive industry. You will have the opportunity to have a significant impact on a company that offers creative freedom not often found in an already successful firm. This is a rare opportunity to join a small, collaborative technology startup with exceptional growth potential and fantastic teammates who love working with each other, while benefiting from the support and stability of a Fortune 500 company.

About You

You are detail oriented with focus on accuracy and integrity as you work with and present data. You have sound judgment in determining when to prioritize speed versus quality. You work hard to first understand the root problem that your customers are trying to solve when they ask for data or analysis and you have the experience and technical skills to devise effective, scalable solutions to meet their needs in a timely manner.

You strive for clarity and consistency in communicating with others, avoiding unnecessary jargon, acronyms, etc. You have the ability to develop expert-level knowledge in multiple areas of a business and to discuss these topics with other experts and non-experts alike.

You are seeking a small, fast-moving, and high-performing team where you will have the opportunity to make a real impact on all parts of the business as it grows and evolves. You want to help build a company and work with like-minded people.

About the Role

Your work will provide a critical contribution by delivering reporting, analysis and insights derived from a variety of data sources to partners across the business. You will work in an agile manner to deliver meaningful value to your internal customers and be responsible for managing your own time and workstream. You will work on ETL pipelines as well as analytics, insights and visualizations. You have a strong grasp of best practices for data warehousing and Business Intelligence without getting caught up with orthodoxy. Your work will enable the team to monitor and measure the business and progress towards our goals.

Principal Responsibilities

● Partner with all product development teams to ensure that data essential to measuring our business and product is captured effectively and efficiently.

● Design, develop, deploy, and maintain ETL logic that builds our data warehouse and other common building blocks

● Work in a BI tool (e.g. Tableau) to build, automate and maintain key outputs from this data, including dashboards, reports and interactive data sets

● Perform ad hoc research and analysis using data in both a warehouse database and in a BI tool

● Write and maintain documentation covering the key areas that you work in

● Teach technical and non-technical users how to work with various data resources

● Work directly with internal customers across the company, taking ownership of determining root problems, devising solutions, and managing communications along the way

Qualifications

● Bachelor’s Degree in science, technology, engineering or math

● 3-5 years working in business intelligence, analytics, data engineering, data science or similar related technical work

● Strong skill with SQL (Postgres preferred but any ISO-compatible dialect is sufficient)

● Medium or Low skill with Python 3.x and Python-related ecosystem for data engineering (e.g. Pandas, NumPy, etc.)

● Ability to set and stick to deadlines, allowing for shifting priorities while engaged in concurrent workstreams

● Ability to work with minimal supervision, exercising ownership of projects from start to finish

● Strong written and verbal communication skills are essential

● Strong presentation skills are essential, including: group speaking and data visualization

● Proven history of assembling and presenting analysis to non-data specialist audiences

● Experience building automated reports and analyses, from development to production

● Experience working with BI visualization tools (e.g. Tableau)

● General experience working with a major cloud provider (e.g. AWS, Azure, Google Cloud)

● Experience working collaboratively with source code control (e.g. Github) strongly preferred

● Experience working within a heavily regulated industry strongly preferred

● Experience working in a startup, growth stage company, or similar environment strongly preferred


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