Data Analyst (Levels III - V)

Job Description

Job Description

This position, within the

Data Analytics Specialist

job family of IT, will have the primary responsibility of turning data into insights that inform decisions and drive measurable business outcomes. The ideal candidate pairs strong technical skills in SQL and Python/R with a keen ability to translate questions into analysis, design intuitive dashboards, and tell clear, compelling data stories. Success looks like trustworthy datasets, well‑defined KPIs, and actionable recommendations that help leaders move faster with confidence. The

Data Analyst

partners closely with business stakeholders, data engineers, and BI developers to source, prepare, analyze, and visualize data. You'll shape requirements, define metrics, and build scalable dashboards and reports-primarily in

Power BI

or

Tableau -while upholding data quality, governance, and security standards. Exposure to the

Microsoft Azure data platform

(e.g., Data Factory, Synapse, Databricks, Data Lake) and enterprise tools such as

SAP BusinessObjects

and

Collibra

is beneficial as we continue to mature our analytics ecosystem. This position requires a strong customer service focus, positive attitude, and excellent oral and written communication skills. Responsible for compliance

with all applicable laws, regulations, industry standards, corporate policies, guidelines and procedures, including but not limited to,

RUS, OSHA, SOX, NERC, FERC and ITS

requirements. Promotes an environment of compliance and continuous improvement to meet the Corporation's goals and objectives. Job Duties: Analysis & Insight:

Explore datasets to identify trends, correlations, and anomalies; apply descriptive and inferential statistics to answer business questions and recommend actions. Data Preparation:

Profile, clean, join, and transform data from multiple sources; document data lineage and assumptions to ensure repeatability and trust. Dashboards & Reporting:

Design and maintain dashboards, reports, and self‑service artifacts (e.g., certified datasets, KPIs) using Power BI or Tableau; apply visualization best practices and accessibility standards. Measurement & KPIs:

Partner with stakeholders to define business‑ready metrics and guardrails; implement calculations (e.g., DAX or Tableau calc fields) and set row‑level security where appropriate. Governance & Quality:

Monitor data quality; contribute to data cataloging and stewardship practices (e.g., Collibra); recommend

cleansing/enrichment

solutions. Collaboration:

Translate business needs into analytic requirements; work with data engineers to optimize pipelines and with IT to ensure secure, performant data access. Continuous Improvement:

Stay current on analytics techniques, tooling, and best practices; proactively improve dashboards, queries, and documentation for performance and usability. Support & Enablement:

Provide Tier 2/3 analytical support; coach business users on interpreting dashboards and responsibly using data. Required Qualifications Education : Bachelor's degree in Data Science, Statistics, Mathematics, Information Systems, Computer Science, Engineering, or a related field from an accredited college or university. Experience: Level III

- Minimum of

4 years

as a data analyst/BI analyst (or closely related), including hands‑on work with SQL and a major visualization platform. Level IV

- Minimum of

6 years

in analytics with demonstrated leadership of projects, stakeholder management, and delivery of scalable dashboards and datasets. Level V

- Minimum of

8 years

in analytics, including owning major analytics initiatives, standardizing metrics across domains, and providing thought leadership across IT. Equivalent Experience (in lieu of degree requirements above) Level III

- Minimum of

8 years

of relevant experience may also be considered. Level IV

- Minimum of

10 years

of relevant experience may also be considered. Level V

- Minimum of

12 years

of relevant experience may also be considered. Responsibility: Level III

- Independently develops analytical datasets, dashboards, and reports; conducts exploratory analysis; begins leading small analytics workstreams. Level IV

- Leads analytics projects from requirements to delivery; establishes KPI definitions; mentors junior analysts; collaborates cross‑functionally to improve data products. Level V

- Oversees major analytics programs; standardizes metric definitions enterprise‑wide; sets best practices for visualization, performance, security, and governance; recognized as a subject matter expert across the IT function. Licenses, Certifications, and/or Registrations (plus, not required) Microsoft Certified: Power BI Data Analyst Associate Microsoft Certified: Azure Data Engineer Associate Databricks

(e.g., Lakehouse/SQL Analyst or Data Engineer Associate) Certified Analytics Professional (CAP) ITIL Foundation Specialized Skills: Technical Expertise Strong command of

SQL

for data manipulation and performance‑minded querying. Proficiency with

Python

or

R

for wrangling, statistical analysis, and automation. Expertise in

data visualization

and dashboard design; ability to apply best practices to communicate insights clearly to technical and non‑technical audiences. Working knowledge of

descriptive and inferential statistics , experiment design basics (e.g., A/B), and forecasting techniques. Familiarity with

data modeling

concepts (e.g., star schema, slowly changing dimensions) and with large‑scale datasets. Tools & Technologies Power BI

or

Tableau

(advanced),

Excel

(advanced). Exposure to

Azure

analytics services (e.g., Data Factory, Synapse,

Databricks , ADLS). Experience with

SAP BusinessObjects

a plus; data cataloging with

Collibra

a plus. Version control and teamwork with

Git ; work management in

Azure DevOps

or similar. Data Governance & Security Understanding of

data quality frameworks , data lineage, and stewardship practices. Ability to implement

row‑level security , manage

sensitive data

responsibly, and align with compliance standards (e.g.,

SOX ) in partnership with IT and Security. Additional Skills Excellent problem‑solving, analytical skills, and attention to detail. Excellent oral and written communication and interpersonal skills. Customer‑service orientation, positive attitude, and the ability to work independently and as part of a team. Ability to document assumptions, calculations, and dashboard usage; strong sense of ownership for data reliability and clarity. Comfortable engaging with executives and frontline teams; adept at translating business goals into analytical work.

Georgia System Operations Corporation is an Equal Employment Opportunity Employer, including veterans and disabled. We are a drug-free workplace. All applicants are subject to substance abuse testing.

Job Posted by ApplicantPro