Data Analyst, Bolt Talent Solutions | #python | #jobs


Job Title

Data Analyst

Job Description

As a Data Analyst, you will manage the end to end vision and implementation of our data needs and ensure that they are aligned with the organization’s goals. This means you will start by looking at the organization’s goals and cascading those down to the team’s goals. Once those are clear, you will identify all the primary and secondary metrics that need to be tracked for the team to meet its targets. That will be followed by a clear sense of how and where we should track these metrics.

To enable this, you will collaborate productively with different teams within the organization to drive a “data-first” mindset across the team. As a data-oriented organization, we must use our data on a weekly basis to track progress and change course (if necessary) based on the data. In this role, you will ensure that data isn’t simply being collected; you will also provide accurate analysis and get the team to derive insights from the results.

Core Responsibilities

  • Data Strategy: What outcomes do we need to track? How do these outcomes drive business outcomes? How do we collect and use this data, and at what cadence
  • Data Collection Systems: Work with the data engineers to design and implement the tactical systems will we use to collect data.
  • Data Analysis: Translate raw data into helpful decision influencing insights. Essentially, be the thought leader to unlock our data’s value, from descriptive, to diagnostic, to predictive, to prescriptive.
  • Data Storytelling and Visualization: Aggregate, summarize, and use data transformed into visuals to communicate critical insights tailored to specific audiences (including non-data specialists) and with a compelling narrative in a way that augments their full comprehension of the information.
  • Experimentation: How should we set up our experiments to ensure that the correct data

collection systems are in place and can support analytics?


  • Telecommuting is OK
  • Agencies are OK


  • 5+years of industry experience in data analysis and data presentation
  • Bachelors/Masters in Computer Science or Applied Mathematics, Statistics or any Analytical discipline
  • Fluent in SQL and Python (Mandatory)
  • Strong drive to be data-driven and make decisions based on data
  • Experience working with large data sets and relational databases
  • Bonus: experience working with NoSQL databases
  • Experience with either or both Statistics and Experimental Design
  • Strong storytelling and visualization skills
  • Experience with Data Visualization tools like Tableau, Power BI, Google data studio
  • Experience with Python or R will be a big plus
  • Excellent communication, presentation and collaboration skills to work across teams
  • Naturally detail-oriented

Contact Info


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