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Home Based Data Analyst Training Jobs in Alabama

... based systems, and enterprise data environments. • Develop, document, and implement data models for transactional systems, reporting solutions, dashboards, and enterprise analytics products. • ...

As data analyst, you love diving into data and turning it into meaningful insights. With the ... However, we want to ensure a fair candidate process based on your own skills and knowledge. As part ...

Data Analyst, Mid

Huntsville, AL · On-site +1

$61K - $141K/yr

As data analyst, you love diving into data and turning it into meaningful insights. With the ... However, we want to ensure a fair candidate process based on your own skills and knowledge. As part ...

Python, SQL, Exploratory data analysis, Gitlab, Data documentation, PowerBI * Ability to ... Whether it's through our continuing-education opportunities, our robust training programs, or our ...

Data Analyst SME

Huntsville, AL · On-site

$90 - $120/hr

Python, SQL, Exploratory data analysis, Gitlab, Data documentation, PowerBI * Ability to ... Whether it's through our continuing-education opportunities, our robust training programs, or our ...

Python, SQL, Exploratory data analysis, Gitlab, Data documentation, PowerBI * Ability to ... Whether it's through our continuing-education opportunities, our robust training programs, or our ...

Python, SQL, Exploratory data analysis, Gitlab, Data documentation, PowerBI * Ability to ... Whether it's through our continuing-education opportunities, our robust training programs, or our ...

Showing results 21-40

Home Based Data Analyst Training information

What is the difference between Home Based Data Analyst Training vs Remote Data Analyst?

AspectHome Based Data Analyst TrainingRemote Data Analyst
CredentialsTypically requires training programs, certifications like Microsoft Excel, SQL, or TableauOften requires similar certifications and some work experience
Work EnvironmentTraining is conducted online or in-person; actual work is remotePrimarily remote, working from home or any location with internet access
Employer & Industry UsageUsed by training providers, educational institutions, and job seekersEmployed by companies across industries, including finance, marketing, and tech

Home Based Data Analyst Training focuses on preparing individuals with the necessary skills and certifications to start a career as a remote data analyst. In contrast, a Remote Data Analyst is someone actively working in a remote role, often with prior experience and certifications. The training provides foundational knowledge, while the remote analyst role involves applying those skills in a professional setting.

Can I become a home based data analyst?

Yes, a home based data analyst can work remotely by analyzing data sets, creating reports, and using tools like Excel, SQL, or Python. Success typically requires relevant skills, a computer, and reliable internet, along with some industry experience or training. Many employers offer remote positions for qualified candidates with strong analytical and communication skills.

What are the most commonly searched types of Data Analyst Training jobs in Alabama?

The most popular types of Data Analyst Training jobs in Alabama are:

What are popular job titles related to Home Based Data Analyst Training jobs in Alabama?

For Home Based Data Analyst Training jobs in Alabama, the most frequently searched job titles are:

What cities in Alabama are hiring for Home Based Data Analyst Training jobs?

Cities in Alabama with the most Home Based Data Analyst Training job openings:

Data Analytics Analyst II 4P/526

4P Consulting Inc

Birmingham, AL • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Data Analytics Analyst II Experience Level: 3–5 Years Location- Birmingham, AL ( ONSITE) Client- Alabama Power Contract- 3 years Position Summary The Data Analytics Analyst II supports enterprise analytics, reporting, and data-driven decision-making by working with large, complex datasets in cloud-based environments . This role partners closely with data engineers, business stakeholders, and subject matter experts to ensure accurate, reliable, and well-structured data for dashboards, reports, and analytical products. The ideal candidate brings strong SQL expertise , experience with cloud data platforms , and the ability to troubleshoot data quality and pipeline issues in a fast-paced, enterprise environment.

Key Responsibilities

Data Analysis & Reporting Analyze large, complex datasets to support enterprise reporting and analytics products Support and maintain dashboards and reports using Power BI, Tableau, or similar BI tools Translate business questions into efficient, analytics-ready datasets Ensure datasets are optimized for visualization performance and usability SQL & Data Development Write, optimize, and maintain advanced SQL queries , including: Complex joins CTEs Window functions Performance optimization Develop reusable, well-documented SQL assets Cloud Data Platforms Work with cloud-based data platforms such as: Databricks Azure Synapse Snowflake BigQuery (or similar) Understand and support data ingestion flows from source systems to cloud storage and analytics layers Data Modeling & Transformation Structure data for analytics using: Fact and dimension models Wide vs. narrow table designs Prepare datasets optimized for dashboards and enterprise reporting Data Quality & Validation Identify data discrepancies between source systems and cloud datasets Troubleshoot data quality, ingestion, and pipeline issues Facilitate root-cause analysis and coordinate issue resolution across teams Required Qualifications 3–5 years of professional experience in data analytics, business intelligence, or a related role Proven experience working with large datasets in cloud environments Advanced SQL proficiency (required) Experience supporting enterprise dashboards and analytics products Strong analytical, problem-solving, and troubleshooting skills Ability to work independently while collaborating with data engineers and SMEs Strong written and verbal communication skills Preferred Qualifications Experience with Power BI Experience within the Microsoft Azure ecosystem , including: Azure Data Factory Azure SQL Azure Data Lake Storage (ADLS) Experience with PySpark or Python for data analysis and transformations Familiarity with ETL / ELT pipelines and orchestration concepts Experience using version control systems (Git or similar) Basic understanding of data governance, lineage, or metadata management Domain & Business Experience (Preferred) Experience in utilities, energy, infrastructure, or regulated industries Familiarity with operational, asset, or time-series data Experience working with imperfect or operational source systems