Data Analyst - Fully Remote in the US

Job Details

Position Type: Full TimeSalary Range: $95,000.00 - $100,000.00 SalaryTravel Percentage: NoneJob Category: Information Technology

Job Summary

The Analytics team at WorkCare provides data solutions for internal partners and directly to clients. This role of Data Analyst is responsible for reporting, data analysis and data design. Our Analytics team’s mission is to enable our growing business through data and insights. This role uses data to solve complex problems in creative and innovative ways.

As a Data Analyst you will provide our operating, clinical and financial teams with critical KPIs and data to drive quality and operational efficiency. This role is a cross-functional position that will blend both technical and business knowledge as you help share a data-driven approach to analytics for WorkCare.

 

Essential Duties and Responsibilities

• Cleanse, merge, and process data required to generate dashboards and reports for clinical quality, operational, and financial purposes.
• Demonstrate desire to master various data domains and expertise around weaving them together to answer key questions from clinical, operational and financial stakeholders.
• Gain a deep understanding of our data, how it applies to the broader organization and use this to level-up our solutions.
• Research, recommend and deliver technology capabilities and data models which produce high quality datasets.
• Help continually improve our tooling and processes by seeking opportunities for automation and simplification.
• Deliver analysis that distills clear, meaningful insights from large, complex datasets.
• Diagnose and solve platform and data issues - perform root cause analysis and apply solutions to prevent re-occurrence.
• Bonus: Build cloud-native, hybrid, and multi-cloud workloads that are highly scalable, resilient data pipelines.
• Performs additional duties and assumes additional responsibilities as identified by manager for the efficient operation of WorkCare.

Qualifications

Education and Experience

• Bachelor's degree in Computer Science or Master's degree in Information Systems Management. 
• 3+ years of relevant industry experience building highly scalable data reporting and visualizations utilizing SQL Server, SSRS, SSIS, Snowflake, PowerBI or other visualization software.
• 3+ years of SQL (intermediate skill level), Python, and shell scripting experience.
• Minimum of 1 year of experience in Cloud Data Warehousing / Data Lake technologies and architectures such as Snowflake, Redshift, Lake Formation.
• Understanding of how to organize data and optimize data storage in relational databases and flat file formats (e.g. on SQL Server/S3/Parquet).
• Experience with Power BI development (semantic models, DAX, report, and dashboard design).
• Experience with Snowflake SQL and data modeling (fact/dimension tables, performance tuning).
• Experience with financial and operational reporting (P&L, revenue, client metrics, executive KPIs).
• Experience building and maintaining automated data pipelines (ETL/ELT).
• Experience working with cloud data platforms and file-based data (S3, APIs, vendor feeds).
• Experience with AI-enabled analytics or document processing (e.g.,AI-driven extraction, forecasting, or automation).
• Experience translating business needs to highly scalable data models and datasets.
• Experience with data modelling - demonstrable experience in reverse engineering models and designing models for reporting and analytics use-cases.
• Experience with ETL tools such as AWS Glue, Informatica, Talend or similar a plus.
• Prior experience utilizing dashboarding tools such as Power BI, QuickSight, Tableau, or similar.
• Background in software engineering - able to write elegant, scalable, and maintainable code.

 
Skills and Competencies

• Strong verbal, written, and interpersonal communication skills - you will be able to tailor your communication to technical and less technical audie