Data Analyst

gobravvo; Raleigh (NC); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical, Vision, and Dental coverage

401(k) with company match

Professional development

Competitive compensation

Job summary

Gobravvo is seeking a Data Analyst to drive data-driven decisions by transforming large datasets with Databricks, PySpark, Spark SQL, and Power BI. You will partner with stakeholders and tech teams to deliver insightful dashboards and BI solutions.

You will write complex queries, map and transform data, and help shape data strategy while ensuring data quality and security in line with company standards. This is a full-time, on-site role with W-2 employment.

Qualifications

• Minimum 5 years of hands-on experience with Databricks and PySpark for data analysis and transformation.
• At least 5 years of advanced proficiency in Spark SQL, including writing efficient and complex queries on large datasets within Databricks.
• 5+ years of experience creating data visualizations and dashboards using Power BI and Databricks native visualization tools.
• Proven experience in data mapping and modeling to support data integration and transformation projects.
• Demonstrated ability to gather, document, and develop business requirements in collaboration with stakeholders.
• Strong communication and interpersonal skills to effectively interact with both technical and non-technical team members.
• Ability to work as a W-2 employee (C2C, 1099, or third-party vendor arrangements not supported).

Responsibilities

• Develop and maintain business requirements by collaborating with stakeholders across departments.
• Design, implement, and optimize data analysis and transformation processes using Databricks and PySpark.
• Write advanced Spark SQL queries to process and analyze large-scale datasets efficiently.
• Create compelling dashboards and data visualizations using Power BI and Databricks native visualization tools to clearly communicate insights.
• Perform data mapping and modeling to support integration and transformation initiatives.
• Actively participate in design discussions, strategy sessions, and planning meetings with the broader development team.
• Document processes, workflows, and change management activities related to data operations.
• Ensure the accuracy, quality, and security of data solutions in line with organizational and regulatory standards.

Skills

Databricks

PySpark

Spark SQL

Power BI

Tools

Power BI

Databricks

Job description

We are seeking a dedicated Data Analyst to join our team and play a critical role in driving data-driven decision-making across our organization. As a Data Analyst, you will leverage your hands-on expertise in Databricks (PySpark), advanced Spark SQL, and data visualization tools such as Power BI and Databricks native visualizations to transform large datasets into actionable insights. This full-time opportunity is ideal for professionals passionate about collaborating with stakeholders and technical teams to deliver impactful business intelligence solutions. Join an innovative organization that invests in cutting-edge technology and supports your professional growth in a dynamic environment.

As a Data Analyst, you will be responsible for gathering and developing business requirements, supporting change management documentation, and ensuring that data solutions align with key business objectives. You will work closely with technical leads and participate in design discussions and strategic planning sessions. This role requires a detail-oriented and analytical mindset, as you will be responsible for writing efficient, complex queries on large datasets, integrating and transforming data, and creating intuitive dashboards and visualizations that enable better business decisions.

This position is open to candidates who can be employed directly on a W-2 basis. C2C, 1099, and third-party vendor arrangements are not available for this opportunity.

Data Analyst - Summary

• Serve as a key contributor in transforming complex data into meaningful business insights using Databricks, PySpark, Spark SQL, and Power BI.
• Collaborate with stakeholders to gather requirements and ensure data solutions meet business needs.
• Participate in design and planning sessions with technical leads and development teams.
• Support documentation and change management related to data projects.

Duties & Responsibilities

• Develop and maintain business requirements by collaborating with stakeholders across departments.
• Design, implement, and optimize data analysis and transformation processes using Databricks and PySpark.
• Write advanced Spark SQL queries to process and analyze large-scale datasets efficiently.
• Create compelling dashboards and data visualizations using Power BI and Databricks native visualization tools to clearly communicate insights.
• Perform data mapping and modeling to support integration and transformation initiatives.
• Actively participate in design discussions, strategy sessions, and planning meetings with the broader development team.
• Document processes, workflows, and change management activities related to data operations.
• Ensure the accuracy, quality, and security of data solutions in line with organizational and regulatory standards.

Salary & Benefits

• Competitive compensation package reflective of skills and experience.
• Comprehensive benefits including medical, vision, and dental coverage.
• 401(k) plan with company match to support your long-term financial goals.
• Opportunity to work in a forward-thinking organization recognized for its investment in advanced technology and professional development.

Qualifications & Requirements

• Minimum 5 years of hands-on experience with Databricks and PySpark for data analysis and transformation.
• At least 5 years of advanced proficiency in Spark SQL, including writing efficient and complex queries on large datasets within Databricks.
• 5+ years of experience creating data visualizations and dashboards using Power BI and Databricks native visualization tools.
• Proven experience in data mapping and modeling to support data integration and transformation projects.
• Demonstrated ability to gather, document, and develop business requirements in collaboration with stakeholders.
• Strong communication and interpersonal skills to effectively interact with both technical and non-technical team members.
• Ability to work as a W-2 employee (C2C, 1099, or third-party vendor arrangements not supported).

Ideal Candidate Snapshot

• Analytical thinker with a passion for leveraging data to solve business problems.
• Skilled at translating complex technical concepts into clear, actionable business insights.
• Collaborative and proactive, with experience working in cross-functional teams.
• Detail-oriented and committed to maintaining high standards for data quality and accuracy.
• Adaptable and eager to learn new technologies and methodologies in the evolving field of data analytics.

Other Relevant Information

• This role is available for candidates eligible to work directly as a W-2 employee.
• Our organization is committed to diversity and inclusion, ensuring equal opportunity for all applicants.
• #LI-Hybrid

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

IDR is subject to certain governmental recordkeeping and reporting requirements for the administration of civil rights laws and regulations. In order to comply with these laws, we invite employees to voluntarily self-identify their race or ethnicity, gender, and veteran status (if applicable). Submission of this information is voluntary and refusal to provide it will not subject you to any adverse treatment. The information obtained will be kept confidential and may only be used in accordance with the provisions of applicable laws, executive orders, and regulations, including those that require the information to be summarized and reported to the federal government for civil rights enforcement. You may access this form here.