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Data Reporting Jobs in Alabama (NOW HIRING)

Data Analyst- SharePoint Location: Redstone Arsenal Position Type: Full-Time The Analyst will work ... Prepare reports and documentation for customer review Apply strong verbal and written communication ...

Senior Business Reporting Analyst Lead

Hoover, AL · On-site +1

$79K - $102K/yr

Key Responsibilities Lead and manage business operations data, reporting, and analysis efforts for Technology. Knowledge of, and experience with, CIO level reporting needs, and the ability to create ...

Senior Business Reporting Analyst Lead

Hoover, AL · On-site +1

$79K - $102K/yr

Lead and manage business operations data, reporting, and analysis efforts for Technology. * Knowledge of, and experience with, CIO level reporting needs, and the ability to create from new. This role ...

New

DATA SCIENTIST LEAD

Birmingham, AL · On-site

$104K - $169K/yr

Provides consultation on the design, testing, and enhancement of reporting systems. Researches, manipulates, and prepares advanced data reports related to program activities and the results of ...

Director of Housing

Mobile, AL · On-site

$65K - $70K/yr

Manage program data, reporting, and compliance (HMIS and grant reporting) * Develop and track program goals, outcomes, and budget performance * Coordinate staff schedules, training, and performance ...

Partner with various internal teams to gather data requests and develop reports to provide further insight/analysis * Design, build, and maintain custom reports * Evaluate software updates and ...

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Data Reporting information

See Alabama salary details

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How much do data reporting jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for data reporting in Alabama is $32.42, according to ZipRecruiter salary data. Most workers in this role earn between $21.14 and $41.06 per hour, depending on experience, location, and employer.

What is data reporting?

Data reporting is the process of collecting, organizing, and presenting data in a structured format, such as charts, tables, or dashboards, to communicate key information and insights. Professionals in data reporting analyze raw data, identify trends, and create reports that help organizations make informed decisions. Their work often involves using specialized software tools to generate reports that are accurate, timely, and tailored to the needs of stakeholders.

What are the key skills and qualifications needed to thrive as a Data Reporting professional, and why are they important?

To thrive as a Data Reporting professional, you need strong analytical skills, attention to detail, and proficiency in data interpretation, often supported by a degree in statistics, mathematics, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), advanced Excel functions, and knowledge of SQL or similar database systems are typically required. Excellent communication, problem-solving, and time management skills help you convey insights clearly and meet deadlines. These competencies are essential for transforming raw data into actionable information that supports organizational decision-making.

What are some common challenges faced by professionals in Data Reporting roles, and how can they be addressed?

Professionals in Data Reporting often encounter challenges such as ensuring data accuracy, meeting tight deadlines, and communicating complex findings to non-technical stakeholders. Addressing these challenges typically involves establishing robust data validation processes, prioritizing tasks based on reporting deadlines, and developing strong data visualization and storytelling skills. Collaborating closely with data analysts, IT teams, and business units also helps ensure that reports are both accurate and actionable.

What jobs pay 500,000 a year in the US?

In data reporting and related fields, roles such as senior data executives, data science directors, and chief data officers can earn $500,000 or more annually, especially in large corporations or tech companies. These positions typically require extensive experience, advanced skills in data analysis, and leadership responsibilities, often supplemented by advanced degrees and certifications. Compensation at this level may include base salary, bonuses, and stock options.

Is 40 too late for data science?

Data reporting professionals and those transitioning into data science can start at any age, including 40. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, along with practical experience. Many individuals successfully switch careers or advance in data-related roles later in life.

What is the difference between Data Reporting vs Data Analysis?

AspectData ReportingData Analysis
Primary FocusPresenting data in reports and dashboardsInterpreting data to find insights
Skills RequiredData visualization, reporting tools, basic SQLStatistical analysis, data mining, critical thinking
Work EnvironmentBusiness intelligence teams, reporting departmentsData science teams, analytics departments
CertificationsExcel, Tableau, Power BISQL, Python, R certifications

While Data Reporting focuses on creating clear, accessible reports for decision-makers, Data Analysis involves exploring data to uncover trends and insights. Both roles require familiarity with data tools, but Data Analysis demands deeper statistical and analytical skills. Organizations often use both roles together to support data-driven decision-making.

What are data reporting jobs?

Data reporting jobs involve collecting, analyzing, and presenting data to help organizations make informed decisions. These roles often require skills in data visualization tools, such as Excel or Tableau, and a good understanding of data management and analysis techniques.

What jobs make $1,000,000 a year?

In data reporting, high-level roles such as Chief Data Officer or senior data executives in large corporations can earn close to or over $1 million annually, especially with bonuses and stock options. These positions typically require extensive experience, advanced skills in data management and analytics, and leadership responsibilities. Most data reporting roles in smaller organizations have lower salary ranges, but top executives in data-driven companies can reach seven-figure compensation.

Sr. Manager, Data Reporting & Analytics

Teledyne Vision Solutions

Huntsville, AL • On-site

Other

Posted 6 days ago


Job description

Senior Manager, Data Reporting & Analytics

Teledyne Technologies Incorporated provides enabling technologies for industrial growth markets that require advanced technology and high reliability. These markets include aerospace and defense, factory automation, air and water quality environmental monitoring, electronics design and development, oceanographic research, deepwater oil and gas exploration and production, medical imaging and pharmaceutical research.

We are looking for individuals who thrive on making an impact and want the excitement of being on a team that wins.

Job Summary:

The Senior Manager, Data Reporting & Analytics leads the enterprise Power BI and reporting function across multiple ERP platforms and business units. This role is accountable for both delivery and transformation—managing a team of Power BI developers while driving the transition from decentralized, gateway-based reporting to standardized Microsoft Fabric–based analytics. This role combines strong people leadership, deep technical expertise in Power BI and Microsoft Fabric, and enterprise-level coordination across business, ERP, and data platform teams. The Senior Manager ensures reporting solutions are scalable, governed, performant, and aligned to enterprise standards—while pragmatically supporting legacy content during the transition period.

Key Responsibilities:
  • People Leadership & Delivery Management:
    • Lead, coach, and develop a team of Power BI developers
    • Own delivery planning, capacity management, and prioritization across reporting demands
    • Establish technical expectations, quality standards, and best practices across the team
    • Conduct performance reviews, mentor developers, and build long-term analytics capability
  • Enterprise Reporting Ownership:
    • Own the enterprise reporting portfolio spanning multiple ERP systems and data sources
    • Coordinate reporting development across business units to reduce duplication and inconsistency
    • Rationalize legacy and bespoke reports, guiding consolidation toward standard solutions
    • Serve as the accountable owner for reporting quality, performance, and reliability
  • Microsoft Fabric Transition & Modernization:
    • Lead the evolution from gateway-dependent, ERP-specific Power BI architectures to Microsoft Fabric–aligned patterns
    • Define coexistence strategies for legacy reports during the transition period
    • Drive adoption of shared semantic models, standardized datasets, and reusable reporting assets
    • Partner with data engineering and platform teams on Lakehouse, Warehouse, and OneLake integration
  • Technical Direction & Governance:
    • Set technical standards for Power BI, semantic modeling, DAX, and report design
    • Provide hands-on architecture and design reviews for complex or high-impact analytics
    • Act as escalation point for performance optimization, model design, and advanced DAX issues
    • Ensure appropriate use of Row-Level Security (RLS), Object-Level Security (OLS), and governance controls
  • Stakeholder & Demand Management:
    • Act as the senior reporting point-of-contact for business and ERP stakeholders
    • Translate business questions into scalable, enterprise-ready reporting solutions
    • Balance enterprise governance with pragmatic business delivery
    • Clearly communicate trade-offs, priorities, and roadmap implications
  • Enablement & Community Leadership:
    • Oversee development of Power BI training materials and internal best-practice guidance
    • Sponsor and run internal Power BI user group sessions (quarterly or more frequently)
    • Promote adoption of standardized patterns and continuous improvement across the organization
Required Professional & Leadership Experience:
  • 8–12+ years in analytics, BI, or reporting roles
  • 3–7+ years managing Power BI developers or analytics teams
  • Proven experience leading reporting functions through architectural or platform transformation
  • Demonstrated ability to influence across business units and technology teams
Technical Expertise:
  • Expert-level Power BI experience:
    • Advanced semantic modeling
    • DAX optimization and performance tuning
    • Large-scale enterprise datasets
  • Strong working knowledge of Microsoft Fabric, including:
    • Lakehouse, Data Warehouse, OneLake
    • Direct Lake and Fabric-aligned modeling patterns
  • Deep experience with:
    • Dimensional modeling (star / snowflake schemas)
    • SQL optimization and query performance
    • On-premises gateways and cloud transition strategies
  • Experience implementing:
    • RLS / OLS
    • Governance, data quality checks, and documentation standards
  • Familiarity with Git-based source control and CI/CD patterns for Power BI and Fabric artifacts
Preferred Qualifications:
  • ERP reporting experience (SAP S/4, ECC, or comparable platforms strongly preferred)
  • Microsoft certifications such as PL-300 (or equivalent)
  • Exposure to Microsoft Purview for lineage and data governance
  • Experience with Power Platform (Power Apps / Power Automate) for write-back or workflow integration
  • Working knowledge of Python or R for advanced analytics scenarios

** US Citizenship is required for this position. We are unable to hire individuals currently on a work visa or individuals who will require a work visa in the future. **

Salary Range: $83,400.00-$111,200.000

The anticipated salary range listed for this role is only an estimate. Actual compensation for successful candidates is carefully determined based on several factors including, but not limited to, location, local regulations (such as minimum wage), education/training, work experience, key skills, and type of position.

Teledyne and all of our employees are committed to conducting business with the highest ethical standards. We require all employees to comply with all applicable laws, regulations, rules and regulatory orders. Our reputation for honesty, integrity and high ethics is as important to us as our reputation for making innovative sensing solutions.

Teledyne is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other characteristic or non-merit based factor made unlawful by federal, state, or local laws. ​