Mid Level Data And Analytics Jobs
Mid level data and analytics jobs go to analysts and engineers ready to own end-to-end projects, guide junior teammates, and shape data-driven decisions without constant oversight. Hiring runs across Technology & Software, Consulting & Professional Services, and Investment & Asset Management, with a strong mix of remote and hybrid opportunities, and employers like Deloitte, Amazon, and Forward Edge AI competing for professionals at this level now.
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Showing 5 of 203+ Mid Level Data And Analytics jobs
Position: Data Analytics Analyst II
Location: Atlanta, GA
Duration: 4 Months Contract to Hire
Client: Georgia Power
Job Summary
Georgia Power is seeking a Data Analytics Analyst II with 3–5 years of experience to support enterprise data analytics initiatives. The ideal candidate will have strong experience with Python, SQL, Databricks, and Power BI, developing data queries, analyzing large datasets, and creating interactive dashboards that drive business insights and decision-making.
Key Responsibilities
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Develop and optimize SQL queries in Databricks.
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Analyze large datasets to identify trends, insights, and business opportunities.
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Create interactive Power BI dashboards connected directly to Databricks.
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Develop data visualizations and reports for business stakeholders.
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Join and transform data from multiple data sources for analysis.
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Calculate statistical metrics, including averages, means, and other key performance indicators.
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Collaborate with business and technical teams to support data-driven decision-making.
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Ensure data quality, accuracy, and consistency across reporting solutions.
Required Qualifications
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Bachelor's degree in Computer Science, Data Analytics, Information Systems, Mathematics, Statistics, or a related field.
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3–5 years of experience in data analytics or business intelligence.
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Strong proficiency in Python and SQL.
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Experience writing and optimizing queries in Databricks.
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Experience developing Power BI dashboards connected to Databricks.
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Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
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Experience building Databricks Genie Rooms, applications, and visualizations.
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Experience working with enterprise data platforms and cloud analytics environments.
Preferred Skills
Python • SQL • Databricks • Power BI • Data Analytics • Data Visualization • Business Intelligence • Dashboard Development • Data Modeling • ETL • Reporting • Statistical Analysis • KPI Reporting
Position: Data Analytics Analyst II
Location: Atlanta, GA
Duration: 4 Months Contract to Hire
Client: Georgia Power
Job Summary
Georgia Power is seeking a Data Analytics Analyst II with 3–5 years of experience to support enterprise data analytics initiatives. The ideal candidate will have strong experience with Python, SQL, Databricks, and Power BI, developing data queries, analyzing large datasets, and creating interactive dashboards that drive business insights and decision-making.
Key Responsibilities
-
Develop and optimize SQL queries in Databricks.
-
Analyze large datasets to identify trends, insights, and business opportunities.
-
Create interactive Power BI dashboards connected directly to Databricks.
-
Develop data visualizations and reports for business stakeholders.
-
Join and transform data from multiple data sources for analysis.
-
Calculate statistical metrics, including averages, means, and other key performance indicators.
-
Collaborate with business and technical teams to support data-driven decision-making.
-
Ensure data quality, accuracy, and consistency across reporting solutions.
Required Qualifications
-
Bachelor's degree in Computer Science, Data Analytics, Information Systems, Mathematics, Statistics, or a related field.
-
3–5 years of experience in data analytics or business intelligence.
-
Strong proficiency in Python and SQL.
-
Experience writing and optimizing queries in Databricks.
-
Experience developing Power BI dashboards connected to Databricks.
-
Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
-
Experience building Databricks Genie Rooms, applications, and visualizations.
-
Experience working with enterprise data platforms and cloud analytics environments.
Preferred Skills
Python • SQL • Databricks • Power BI • Data Analytics • Data Visualization • Business Intelligence • Dashboard Development • Data Modeling • ETL • Reporting • Statistical Analysis • KPI Reporting
See All 203+ Mid Level Data And Analytics Jobs
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Find JobsMid Level Data And Analytics Job Market
Who's Hiring
- Deloitte19
- Amazon5
- Forward Edge AI5F
- Apple4
- 4P Consulting4
Top Industries Hiring
- Technology & Software31
- Consulting & Professional Services27
- Investment & Asset Management26
- Banking & Financial Services21
- Accounting & Auditing20
Mid Level Data And Analytics Jobs: Frequently Asked Questions
How do I get a mid level data and analytics job?
Position your experience around ownership and impact, not just task completion. Highlight projects where you drove a decision, built a pipeline from scratch, or improved a metric your team cared about. Tailor your resume to show depth in at least one domain, whether that is SQL, Python, visualization, or statistical modeling, and demonstrate you can work with minimal direction.
Which companies hire mid level data and analyticss?
Companies hiring mid level data and analytics professionals right now include Deloitte, Amazon, and Forward Edge AI, based on current listings on Migrate Mate as of July 2026. Hiring at this level comes from a broad mix of employers, including technology firms, financial services companies, retailers, and healthcare organizations that rely on data teams to support product and business decisions.
Are there remote mid level data and analytics jobs?
Yes, and a meaningful share of openings offer flexible arrangements. About 36% of mid level data and analytics openings are remote or hybrid as of July 2026, reflecting strong employer demand for experienced professionals who can collaborate across distributed teams. On-site roles remain common in regulated industries and at companies building out in-person data culture.
How do I move up to a mid level data and analytics role?
Moving into a mid level role takes deliberate skill-building and demonstrated ownership over time. Focus on deepening technical skills in areas like data modeling, statistical analysis, or business intelligence tools, and look for opportunities to lead a project or mentor a peer. Employers want to see that you have delivered measurable results independently, not just supported others.
Which industries hire the most mid level data and analyticss?
Mid Level data and analytics roles concentrate in Technology & Software, Consulting & Professional Services, and Investment & Asset Management, based on current listings on Migrate Mate as of July 2026. These sectors drive demand because they generate large volumes of data that require experienced analysts and engineers to translate into decisions around operations, customer behavior, risk, and product development.