Über
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
Sprachkenntnisse
- English
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