Business Data Analyst

Compensation

: $103,330.00 - $127,920.00 /year *

Employment Type

: Full-Time

Industry

: Information Technology



As a Business Intelligence Analyst, you will help to examine, position, and visualize our data via Looker, DOMO, Tableau, etc. to drive optimal business performance. The perfect candidate will be interested in our data stack from start to finish, keeping the end user in mind at all times. This role will have the opportunity to work cross-functionally across finance, operations, marketing, and growth teams, while specializing in one or multiple areas of the business over time. You must be a great communicator and have a knack for displaying and organizing data to achieve granular insights and hit KPIs. Lastly, you must remain agile and be comfortable with a fast-paced start-up environment.

Responsibilities:
Collaborate with business partners to drive their data strategy, such as managing KPIs and funnel metrics with associated reporting
Write queries and code to extract relevant data from various platforms.
Collaborate with other analysts to build out and maintain our dashboards, ensuring they are up-to-date, accurate, and fair representations of product performance.
Automate and streamline existing analytics processes to maximize efficiency.
Help ensure that data is accurate and consistent throughout the organization.
Train teams on how to leverage our data tools and assess whether their conclusions are valid.
Work with engineering teams in tracking events that are critical to measuring company performance.
Clearly communicate your findings to a range of stakeholders to inform and educate them

Qualifications:
Hold a degree in Data Science, Economics, Statistics, Engineering, or a related quantitative field
1-3 years experience in data, finance, marketing, engineering or business operations/insights
Experienced working with large and complex datasets; cross-functional inputs are a plus
Can quickly navigate complex SQL queries and Excel functions
BI tool experience in Looker and DOMO preferred
Strong understanding of data and tech stacks
Quantitative research utilizing R or Python a plus
A strong visual organization, attention to detail, and a no-task-too-small mentality
Ability to plan ahead and organize data to ensure accuracy
Communicate clearly and consistently, written and verbal skills to match
A desire to use data in creative ways to drive and measure results
Desire to leverage past experience to make a business impact and motivated by a flexible environment

by Jobble

* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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