Job Specifications
-Data Analytics
-Heavy SQL experience
-Python experience
Seeking a motivated and data-driven problem solver who thrives at the intersection of business and technology. As a Data Engineer/Analyst, you'll play a key role in transforming raw data into meaningful insights and scalable solutions that support decision-making across the organization.
This hybrid role blends technical engineering with analytical storytelling-perfect for someone early in their career who's eager to learn, grow, and make a real business impact. You'll collaborate with stakeholders to understand their data needs, analyze complex datasets to uncover trends and opportunities, and deliver insights that inform strategic decisions. You'll also work alongside senior engineers to enhance data pipelines and models, gaining hands-on experience with the infrastructure that powers analytics.
Key Responsibilities
· Collaborate with senior data engineers and cross-functional teams to design, build, and maintain scalable data pipelines and analytics infrastructure
· Translate business requirements into reliable data models and prepare clean, well-organized datasets for self-service analytics
· Develop dashboards and reports using tools like Power BI to support data-driven decision-making and communicate insights effectively
· Contribute to existing codebases (e.g., Python, SQL), applying best practices for maintainable and scalable engineering
· Monitor data quality and availability, troubleshoot issues across environments, and ensure accuracy and consistency in analytics outputs
· Support ongoing improvements to data models, streamline access, and automate reporting workflows to enhance operational efficiency
Qualifications
· Foundational experience with data analysis and programming (e.g., Python or similar)
· Familiarity with business intelligence tools such as Power BI
· Exposure to modern data platforms like Databricks, Snowflake, BigQuery, or Redshift
· Ability to interpret business needs and translate them into scalable, technical data solutions
· Strong communication skills for collaborating with technical and non-technical stakeholders
· Demonstrated problem-solving ability, curiosity, and eagerness to grow in a collaborative environment
Preferred Skills
· Hands-on experience with Databricks or similar cloud-based data platforms
· Proficiency in scripting languages for data analysis, such as Python, R, or equivalent
- Solid understanding of ETL (Extract, Transform, Load) processes and foundational data modeling concepts
Desired Skills and Experience
Seeking a motivated and data-driven problem solver who thrives at the intersection of business and technology. As a Data Engineer/Analyst, you'll play a key role in transforming raw data into meaningful insights and scalable solutions that support decision-making across the organization.
This hybrid role blends technical engineering with analytical storytelling-perfect for someone early in their career who's eager to learn, grow, and make a real business impact. You'll collaborate with stakeholders to understand their data needs, analyze complex datasets to uncover trends and opportunities, and deliver insights that inform strategic decisions. You'll also work alongside senior engineers to enhance data pipelines and models, gaining hands-on experience with the infrastructure that powers analytics.
Key Responsibilities
· Collaborate with senior data engineers and cross-functional teams to design, build, and maintain scalable data pipelines and analytics infrastructure
· Translate business requirements into reliable data models and prepare clean, well-organized datasets for self-service analytics
· Develop dashboards and reports using tools like Power BI to support data-driven decision-making and communicate insights effectively
· Contribute to existing codebases (e.g., Python, SQL), applying best practices for maintainable and scalable engineering
· Monitor data quality and availability, troubleshoot issues across environments, and ensure accuracy and consistency in analytics outputs
· Support ongoing improvements to data models, streamline access, and automate reporting workflows to enhance operational efficiency
Qualifications
· Foundational experience with data analysis and programming (e.g., Python or similar)
· Familiarity with business intelligence tools such as Power BI
· Exposure to modern data platforms like Databricks, Snowflake, BigQuery, or Redshift
· Ability to interpret business needs and translate them into scalable, technical data solutions
· Strong communication skills for collaborating with technical and non-technical stakeholders
· Demonstrated problem-solving ability, curiosity, and eagerness to grow in a collaborative environment
Preferred Skills
· Hands-on experience with Databricks or similar cloud-based data platforms
· Proficiency in scripting languages for data analysis, such as Python, R, or equivalent
- Solid understanding of E
About the Company
Beacon Hill was founded to set a new standard in search, career placement and flexible staffing.
Our niche brands provide direct hire, executive search, contract and temporary staffing, contract consulting and temp/contract-to-hire solutions to emerging growth companies and the Fortune 500 across market sectors, career specialties/disciplines and industries. Over time, office locations, specialty practice areas and service offerings will be added to address ever-changing constituent needs.
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