1

Data Analytics Supervisor Jobs in Alabama (NOW HIRING)

Data Engineer, Finance

Birmingham, AL · On-site

$107K - $128K/yr

The role partners closely with Finance leadership, Accounting, FP&A, Treasury, Tax, IT, and ... SUPERVISORY RESPONSIBILITY: No Supervisory Responsibility BUDGET RESPONSIBILITY: No COMPANY ...

Data Engineer

Homewood, AL · On-site

$107K - $128K/yr

Optimize data performance, reliability, and scalability across analytics platforms * Healthcare ... Supervisory Requirements This position will not supervise employees. Minimum Qualifications

DATA SCIENTIST LEAD

Birmingham, AL · On-site

$104K - $169K/yr

Performs statistical analysis to build Artificial Intelligence tools that automate certain ... like supervised, unsupervised and reinforcement learning). Mentors and trains junior and ...

$49K/yr

Promotions and salary increases are based upon your successful performance and supervisory approval ... to analyze systems, processes, and/or operational problems and procedures. 2. Knowledge of ...

Data Engineer IV

Birmingham, AL · On-site

$107K - $128K/yr

Partner closely with data scientists, analysts, and other teams to understand their data ... SUPERVISORY RESPONSIBILITY: BUDGET RESPONSIBILITY: COMPANY INFORMATION: Motion offers an excellent ...

Showing results 21-40

Data Analytics Supervisor information

What is the difference between Data Analytics Supervisor vs Data Analyst?

AspectData Analytics SupervisorData Analyst
CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often requires experience in leadership rolesBachelor's degree in Data Science, Statistics, or related field; entry to mid-level experience
Work EnvironmentOversees teams, manages projects, collaborates with managementPerforms data analysis, reports findings, supports decision-making
Employer & Industry UsageUsed across industries like finance, healthcare, tech; common in organizations with analytics teamsFound in similar industries; often entry to mid-level role supporting analytics projects

The main difference is that Data Analytics Supervisors oversee teams and manage projects, while Data Analysts focus on analyzing data and generating reports. Supervisors typically have more experience and leadership responsibilities, whereas Data Analysts are more hands-on with data processing and analysis tasks.

What does a data analytics supervisor do?

A Data Analytics Supervisor oversees a team of data analysts, ensuring they collect, process, and analyze data effectively to support business decisions. They are responsible for managing projects, setting goals, and providing technical guidance to their team. Additionally, they collaborate with other departments to identify data needs, develop strategies, and present insights to leadership. The role requires strong analytical, communication, and leadership skills.

What are the key skills and qualifications needed to thrive as a data analytics supervisor?

To thrive as a Data Analytics Supervisor, you need strong analytical abilities, leadership experience, proficiency in statistical analysis, and a relevant degree in data science, statistics, or a related field. Familiarity with tools like SQL, Python, R, and business intelligence platforms (e.g., Tableau, Power BI) is typically required, along with experience managing data projects and teams. Excellent communication, problem-solving, and team management skills distinguish top performers in this role. These competencies are crucial for translating data insights into actionable strategies, guiding teams effectively, and ensuring the organization's data-driven decision-making success.

How does a data analytics supervisor typically collaborate with cross-functional teams within an organization?

A Data Analytics Supervisor often works closely with departments such as marketing, finance, operations, and IT to identify analytical needs and deliver actionable insights. They facilitate meetings to understand business objectives, translate requirements into data-driven solutions, and ensure that analytics projects align with broader organizational goals. Effective communication and the ability to translate complex data findings into clear, actionable recommendations are critical for fostering strong interdepartmental collaboration.
What are popular job titles related to Data Analytics Supervisor jobs in Alabama? For Data Analytics Supervisor jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Data Analytics Supervisor jobs in Alabama look for? The top searched job categories for Data Analytics Supervisor jobs in Alabama are:
What cities in Alabama are hiring for Data Analytics Supervisor jobs? Cities in Alabama with the most Data Analytics Supervisor job openings:

$107K - $128K/yr

Full-time

Medical, Retirement, PTO

Re-posted 15 days ago


Genuine Parts Company rating

7.0

Company rating: 7.0 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

240th of 415 rated retail wholesalers


Job description

SUMMARY:

Working within the Finance Data Team, the Data Engineer develops modern data pipelines inside of cloud-based data platforms to provide financial business intelligence and enable data-driven decision-making. The role partners closely with Finance leadership, Accounting, FP&A, Treasury, Tax, IT, and business stakeholders to deliver high-quality data solutions that improve reporting efficiency, strengthen controls, and support strategic initiatives. As a member of the Finance Data Team, the data engineer serves as a critical support for the bridge between Finance and Technology, ensuring that financial data is accurate, accessible, and trusted across the organization.

This role requires a strong background in database design, with the primary focus on designing, developing, and maintaining ETL pipelines within cloud-based data platforms. This role reports to the Business Intelligence Manager inside of Finance and requires collaboration with both finance and IT teams to gather requirements and deliver solutions. A strong candidate will have a passion for data, analytical skills and Finance knowledge. This, coupled with the ability to leverage deep technical expertise, will allow for the efficient creation of accurate and actionable data sets.

JOB DUTIES

Designs, builds, and maintains scalable data pipelines and ETL processes to support financial reporting, operational analysis, and business intelligence needs.

Designs and manages data security frameworks, including role-level security (RLS) and permissions across Finance's Power BI workspaces, ensuring appropriate access controls aligned with Finance data governance requirements.

Develops, and implements sematic layers for consumption in PowerBI dashboards and visualizations.

Maintains data models optimized for finance use cases.

Develops processes to monitor data integrity including reconciliation, and exception reporting.

Collaborate with software developers and data scientists to support advanced analytics and AI initiatives.

Ensures alignment of team objectives with business goals, coordinating with stakeholders in finance, accounting, and other departments.

Utilize visualization techniques and BI Tools (Power BI & Qlik) to present findings in a clear, actionable format.

Defines project scope, deliverables and timelines, ensuring on-time, high quality products.

Continuously monitors emerging technologies and industry trends, ensuring the preservation of a competitive advantage while promoting the enhancement of organizational capabilities.

Performs other duties as assigned.

EDUCATION & EXPERIENCE

Requires a bachelor's degree in Computer Science, Information Systems, Data Engineering, Finance, Accounting or related field.

At least five (5) years of experience in data engineering or related technical roles.

KNOWLEDGE, SKILLS, ABILITIES

Strong SQL development and database design experience.

Experience building ETL pipelines using modern data integration tools.

Proficiency in Python, PySpark, Databricks or similar data engineering technologies.

Experience with cloud data platforms such as Snowflake, Azure, AWS, or Google Cloud.

Strong knowledge of data engineering principles, including experience with data warehousing, and big data technologies.

Experience working with ERP and financial systems such as SAP, Oracle, Workday, or similar platforms.

Strong analytical and problem-solving skills.

Communication, presentation, and interpersonal skills, with the ability to convey complex concepts to diverse audiences.

Proven track record of successful project management, including the ability to prioritize tasks, manage deadlines, and ensure the delivery of high-quality solutions.

Industry-specific domain knowledge in Finance or Accounting, with an understanding of related processes and terminology is preferred.

Experience with data visualization tools (Qlik, PowerBI, etc.) preferred.

LICENSES & CERTIFICATIONS: None Required.

SUPERVISORY RESPONSIBILITY: No Supervisory Responsibility

BUDGET RESPONSIBILITY: No

COMPANY INFORMATION:

Motion offers an excellent benefits package which includes options for healthcare coverage, 401(k), tuition reimbursement, vacation, sick, and holiday pay.

Not the right fit? Let us know you're interested in a future opportunity by joining our Talent Community on jobs.genpt.com or create an account to set up email alerts as new job postings become available that meet your interest!

GPC conducts its business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. GPC's policy is to recruit, hire, train, promote, assign, transfer and terminate employees based on their own ability, achievement, experience and conduct and other legitimate business reasons.


What Genuine Parts Company employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom