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Activtrak

Data Analyst

  • Seen live on Activtrak's site 3 days ago
  • Mid level
  • Remote
Pay
Not stated
Location
Austin, Texas, United States
Open for
14+ days
First seen
Oct 21, 2026

Posting record

No flags

Open 14+ days

The posting's record, oldest first
  1. Activtrak's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Activtrak, so its true age is longer.

Last checked Nov 1, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

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What it asks of you

3+ years of experience
“Minimum 3 years of experience in:” (quoted from the posting)
Bachelor's degree asked for
“Bachelor's degree in a quantitative field such as Data Analytics, Business Analytics, Statistics, Mathematics, Economics, Computer Science, or a related discipl” (quoted from the posting)

What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

We’re looking for a detail-oriented and strategic Data Analyst to join our data-driven team. You’ll transform complex datasets into clear, actionable insights that drive performance improvements across the business. This role requires strong analytical capabilities, technical proficiency in data tools, and the ability to clearly communicate insights to both technical and non-technical audiences.

Key Responsibilities

  • Design, Develop, and Maintain BI Dashboards & Templates:
  • Design, develop, and optimize dashboards using Power BI, Looker Studio, Tableau, or similar tools.
  • Create interactive reports that translate productivity data into operational insights for ActivTrak customers.
  • Support data integration with third-party systems to enhance reporting capabilities.
  • Data Quality Control:
  • Partner with engineers to validate data accuracy, integrity, and consistency.
  • Implement data validation processes to maintain high-quality analytical outputs.
  • Perform Advanced Analytics
  • Conduct deep analysis of workforce and productivity trends using SQL and Python.
  • Deliver data-driven recommendations that empower customers to optimize performance and decision-making.
  • Facilitate Internal Ad-hoc Data Requests:
  • Support cross-functional teams (HR, Operations, Product) by querying key datasets from Google BigQuery.
  • Ensure timely and accurate responses to ad-hoc data needs.
  • Enhance Productivity Metrics:
  • Collaborate on the development and refinement of productivity measurement frameworks.
  • Align metrics with evolving business goals and customer needs.

Requirements

Skills & Experience

  • Bachelor's degree in a quantitative field such as Data Analytics, Business Analytics, Statistics, Mathematics, Economics, Computer Science, or a related discipline.
  • Minimum 3 years of experience in:
  • SQL (advanced queries and optimization)
  • BI tools (Tableau, Power BI w/ DAX & PowerQuery, Looker Studio, or Qlik)
  • Python
  • API Integrations
  • Data analysis, metrics development, and cross-functional reporting
  • ETL and Data Warehousing
  • AppScripts & PowerShell
  • Hands-on experience with Google BigQuery and Google Cloud Platform
  • Strong storytelling and communication skills to influence stakeholders at all levels
  • Self-starter with a growth mindset and attention to detail
  • Excellent communication skills with both technical and non-technical audiences.
  • Ability to deal with ambiguity and collaborate with different teams towards mutual goals.
  • Motivated by an interest in developing the best possible solutions

Preferred

  • Experience in Workforce Analytics.

Benefits

Work Environment

  • Position is remote within the US
  • Limited travel
  • Limited physical demands

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