Data Analyst

Role Overview

ActivTrak seeks a mid-level Data Analyst to design BI dashboards, perform advanced analytics using SQL and Python, and deliver data-driven insights to optimize customer productivity. You will collaborate with cross-functional teams, validate data quality, and enhance productivity metrics, directly impacting business decisions.

Perks & Benefits

This is a fully remote position within the US, offering competitive compensation and minimal travel. You'll join a VC-backed, dynamic company with opportunities for growth, working in a collaborative environment that values diversity and inclusion.

Full Job Description

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 toolsCreate interactive reports that translate productivity data into operational insights for ActivTrak customersSupport data integration with third-party systems to enhance reporting capabilitiesData Quality Control: Partner with engineers to validate data accuracy, integrity, and consistencyImplement data validation processes to maintain high-quality analytical outputsPerform Advanced Analytics Conduct deep analysis of workforce and productivity trends using SQL and PythonDeliver data-driven recommendations that empower customers to optimize performance and decision-makingFacilitate Internal Ad-hoc Data Requests: Support cross-functional teams (HR, Operations, Product) by querying key datasets from Google BigQueryEnsure timely and accurate responses to ad-hoc data needsEnhance Productivity Metrics: Collaborate on the development and refinement of productivity measurement frameworksAlign metrics with evolving business goals and customer needsRequirementsSkills & Experience:Bachelor's degree in a quantitative field such as Data Analytics, Business Analytics, Statistics, Mathematics, Economics, Computer Science, or a related disciplineMinimum 3 years of experience in:SQL (advanced queries and optimization)BI tools (Tableau, Power BI w/ DAX & PowerQuery, Looker Studio, or Qlik)PythonAPI IntegrationsData analysis, metrics development, and cross-functional reportingETL and Data WarehousingAppScripts & PowerShellHands-on experience with Google BigQuery and Google Cloud PlatformStrong storytelling and communication skills to influence stakeholders at all levelsSelf-starter with a growth mindset and attention to detailExcellent communication skills with both technical and non-technical audiencesAbility to deal with ambiguity and collaborate with different teams towards mutual goalsMotivated by an interest in developing the best possible solutionsPreferredExperience in Workforce AnalyticsBenefitsWork environmentCompetitive compensation and benefitsPosition is remote within USMinimal travelLimited physical demandsThis is an incredible opportunity to embark on an exciting journey with a dynamic, VC-backed company. If you have a proven track record of creative thinking, a drive for learning, and a deep commitment to collaboration, we want to talk to you!ActivTrak is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. ActivTrak does not discriminate on the basis of race, color, religion, sex, national origin, political affiliation, sexual orientation, marital status, disability, age, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.Please mention the word **BLOSSOM** and tag RMmEwMTo0Zjk6YzAxNDo5NjY6OjE= when applying to show you read the job post completely (#RMmEwMTo0Zjk6YzAxNDo5NjY6OjE=). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.