BI Developer/ Data Analyst

Useready; United States; Remote; USD 85,000 - 125,000; Full time

Job summary

Useready is seeking a skilled BI Developer / Data Analyst with 3+ years of experience to turn raw data into actionable insights. You will bridge data engineering and business strategy, building robust data models, maintaining ETL pipelines, and creating dashboards for stakeholders.

You will design interactive dashboards in Power BI or Tableau, optimize data warehouses, and collaborate with Finance, Operations, Sales, and Product to translate business needs into technical specs.

Qualifications

• 3+ years in BI, data analytics, or data warehousing.
• Proficient in Power BI or Tableau with strong DAX/Power Query.
• Solid understanding of DWH, dimensional modeling, star/snowflake schemas.
• SQL proficiency for complex data extraction and performance tuning.
• Ability to translate business needs into technical specs and communicate with non-technical stakeholders.
• Experience with ETL processes.

Responsibilities

• Design, develop, and maintain dashboards, reports, and KPI scorecards.
• Build and optimize dimensional data models (star/snowflake).
• Develop, monitor ETL workflows to consolidate data into the data warehouse.
• Collaborate with Finance, Operations, Sales, Product to gather requirements and define metrics.
• Leverage Python scripting for data extraction, cleaning, automation, and ad-hoc analysis.

Skills

Power BI

Tableau

SQL

Python

Data Modeling

ETL

Data Warehousing

Business Analysis

Stakeholder Management

Tools

Power BI tooling (DAX/Power Query)

Tableau

Snowflake

AWS Redshift

BigQuery

Azure Synapse

Job description

About the Role

We are looking for a skilled Business Intelligence (BI) Developer / Data Analyst with over 3 years of experience to transform raw data into actionable business insights. In this role, you will bridge the gap between technical data engineering and business strategy building robust data models, maintaining ETL pipelines, and creating intuitive dashboards that empower stakeholders to make data-driven decisions.

Key Responsibilities

• BI & Visualization: Design, develop, and maintain interactive dashboards, reports, and KPI scorecards using Power BI or Tableau.
• Data Modeling & Warehousing: Build and optimize dimensional data models (star/snowflake schemas) and apply core Data Warehousing (DWH) concepts to ensure scalable, accurate reporting.
• ETL & Data Integration: Develop, monitor, and troubleshoot ETL (Extract, Transform, Load) workflows to consolidate data from disparate sources into the data warehouse.
• Business Analysis & Stakeholder Management: Collaborate with cross-functional teams (Finance, Operations, Sales, Product) to gather requirements, define business metrics, and translate complex business problems into technical specifications.
• Data Automation & Scripting: Leverage Python scripting for data extraction, cleaning, automation, and ad-hoc analytical tasks where needed.

Required Qualifications & Skills

• Experience: Minimum of 3+ years of hands‑on experience in Business Intelligence, Data Analytics, or Data Warehousing roles.
• BI Tools: Strong proficiency in at least one major BI platform—specifically Power BI (including DAX and Power Query) or Tableau.
• Data Warehousing & Modeling: Solid understanding of DWH architecture, dimensional modeling, fact/dimension tables, and relational database concepts.
• ETL Processes: Practical experience designing and managing ETL pipelines and data integration workflows.
• SQL Proficiency: Strong ability to write complex SQL queries for data extraction, transformation, and performance tuning.
• Business Acumen: Demonstrated ability to understand business drivers, interpret trends, and communicate data-backed recommendations clearly to non‑technical stakeholders.

Nice-to-Have Skills

• Python: Experience with Python scripting (e.g., Pandas, NumPy) for data manipulation, automation, or API integrations.
• Cloud Data Platforms: Familiarity with cloud data warehouses such as Snowflake, AWS Redshift, Google BigQuery, or Azure Synapse.
• Agile Experience: Experience working in Agile/Scrum environments and managing BI backlogs.