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Description:
We are seeking a detail-oriented and strategic Data Analyst to join our data-driven team.
The role involves transforming complex datasets into clear, actionable insights that drive performance improvements across the business.
Strong analytical capabilities and technical proficiency in data tools are required.
The ability to clearly communicate insights to both technical and non-technical audiences is essential.
Responsibilities include designing, developing, and maintaining BI dashboards and templates using tools like Power BI, Looker Studio, or Tableau.
The Data Analyst will create interactive reports that translate productivity data into operational insights for ActivTrak customers.
Support for data integration with third-party systems to enhance reporting capabilities is also part of the role.
The position involves data quality control, partnering with engineers to validate data accuracy, integrity, and consistency.
Implementing data validation processes to maintain high-quality analytical outputs is necessary.
The analyst will conduct deep analysis of workforce and productivity trends using SQL and Python.
Delivering data-driven recommendations to empower customers to optimize performance and decision-making is a key responsibility.
The role includes facilitating internal ad-hoc data requests and supporting cross-functional teams by querying key datasets from Google BigQuery.
Timely and accurate responses to ad-hoc data needs are expected.
The Data Analyst will collaborate on the development and refinement of productivity measurement frameworks, aligning metrics with evolving business goals and customer needs.
Requirements:
A Bachelor's degree in a quantitative field such as Data Analytics, Business Analytics, Statistics, Mathematics, Economics, Computer Science, or a related discipline is required.
A minimum of 2 years of experience in SQL (advanced queries and optimization) is necessary.
Proficiency in BI tools such as Tableau, Power BI with DAX & PowerQuery, Looker Studio, or Qlik is required.
Experience with Python and API integrations is essential.
Knowledge in data analysis, metrics development, and cross-functional reporting is needed.
Familiarity with ETL and Data Warehousing is required.
Hands-on experience with Google BigQuery and Google Cloud Platform is necessary.
Strong storytelling and communication skills to influence stakeholders at all levels are essential.
The candidate should be a self-starter with a growth mindset and attention to detail.
Excellent communication skills with both technical and non-technical audiences are required.
The ability to deal with ambiguity and collaborate with different teams towards mutual goals is necessary.
A motivation for developing the best possible solutions is essential.
Preferred experience includes Workforce Analytics.
Benefits:
The position offers competitive compensation and benefits.
It is a remote-first position within the US.
Minimal travel is required for this role.
The physical demands of the job are limited.
Apply now
Please, let ActivTrak know you found this job
on RemoteYeah
.
This helps us grow π±.