Business Intelligence Analyst

Business Intelligence Analyst

This job is no longer open

Techstars is a global investor that identifies and nurtures startup companies from the earliest stages all the way to IPO. Our unique position within the investment domain leads to exclusive access to specialized and specific data about startups that can and will change the startup community. The Techstars enterprise data platform is being built from the ground up on modern, cloud-based technologies with support from the highest levels of management to revolutionize the use of data throughout Techstars. We are looking for a business intelligence analyst to design and implement reporting dashboards that will provide company-wide accessibility of enterprise data. 

 

Responsibilities:

  • Execution of user-friendly reporting dashboards on Tableau through a strong partnership with your business unit, the engineering team, your own technical and analytical acumen.
  • Deliver insights that would support developing new strategies or course correct existing strategies through weighing trade-offs and cost/benefit of different solutions, and scalability.
  • Facilitate the execution of data analytics through user-friendly reporting dashboards and other analytical tools.
  • Work-cross functionally and cultivate strong partnerships with data teams and business stakeholders while becoming a subject matter expert (SME) through your own technical, analytical and business expertise.
  • Deliver in depth analysis of major data platform changes, in partnership with data engineers, to communicate impact to business stakeholders.

Qualifications:

  • 5+ years experience working as a data analyst in the investment banking industry a plus.
  • Expert in BI reporting and dashboard development in Tableau. 
  • 5+ years of experience with SQL (Oracle, SQL Server, Teradata or similar), including complex queries and stored procedures. 
  • Exposure to various databases such as AWS PostgreSQL Databases, 
  • Experience working with investment data preferred. 
  • Exceptional written and verbal communication skills with the ability to learn and use the terminology understood by diverse audiences
  • Ability to interact with individuals across a wide variety of operational, functional, and technical disciplines and work well with all levels of leadership. 

Behaviors:

  • Team Player - possess the empathy and interpersonal skills to develop an understanding of the needs of, and communicate effectively with, a large variety of partner teams
  • Curiosity - possess a strong desire to learn more and dig deeper to find a solution
  • Leadership - strong presence amongst team members and stakeholders to drive initiatives forward
  • Performance-driven - data, data, data is our motto
  • Self-reflective - possess the ability to honestly self-reflect and learn from each experience 

 

Compensation range: $100,000 - $120,000 + 10% Bonus

US Benefits

 

About Techstars

The Techstars worldwide network helps entrepreneurs succeed. Founded in 2006, Techstars began with three simple ideas—entrepreneurs create a better future for everyone, collaboration drives innovation, and great ideas can come from anywhere. Now we are on a mission to enable every person on the planet to contribute to, and benefit from, the success of entrepreneurs. In addition to operating accelerator programs and venture capital funds, we do this by connecting startups, investors, corporations, and cities to help build thriving startup communities. Techstars has invested in more than 2,200 companies that today have a combined market cap valuation of $29 Billion. 

 

www.techstars.com

 

Techstars is an affirmative action, equal opportunity employer and does not discriminate on the basis of race, sex, age, national origin, religion, physical or mental handicaps or disabilities, marital status, Veteran status, sexual orientation, gender identity nor any other basis prohibited by law.

 

This job is no longer open
Logos/outerjoin logo full

Outer Join is the premier job board for remote jobs in data science, analytics, and engineering.