Data Analyst

Solero Workforce Solutions is seeking an experienced Data Analyst to support data analysis, reporting, data quality, and business intelligence initiatives within a large public-sector environment.

The Data Analyst will collect, analyze, validate, and interpret complex datasets to identify trends, measure performance, and provide actionable insights. This position will collaborate with business stakeholders, technical teams, and leadership to develop reports, dashboards, metrics, and analytical solutions that support informed decision-making., * Collect, analyze, interpret, and validate data from multiple systems and sources.

• Develop reports, dashboards, scorecards, and data visualizations.
• Write and optimize SQL queries for data extraction and analysis.
• Identify trends, patterns, anomalies, and opportunities for improvement.
• Perform data validation, reconciliation, cleansing, and quality assurance.
• Develop and maintain key performance indicators (KPIs) and performance metrics.
• Translate business requirements into reporting and analytical solutions.
• Support data modeling, mapping, integration, and transformation activities.
• Investigate and resolve data discrepancies and reporting issues.
• Automate recurring reports and analytical processes where appropriate.
• Present analytical findings to technical and nontechnical stakeholders.
• Maintain data dictionaries, report documentation, business rules, and analytical procedures.
• Support data governance, security, privacy, and confidentiality requirements., * Data Analysis Reports
• Dashboards and Scorecards
• KPI and Performance Reports
• Data Quality Assessments
• SQL Queries and Data Extracts
• Trend and Variance Analysis
• Data Validation and Reconciliation Reports
• Data Dictionaries and Documentation
• Executive and Operational Reports
• Analytical Findings and Recommendations

• Bachelor’s degree in Data Analytics, Business Analytics, Information Technology, Computer Science, Statistics, Mathematics, Economics, or a related field.
• Minimum 3 years of professional experience in data analysis, reporting, business intelligence, or a related function.
• Experience working with large and complex datasets.
• Strong SQL and data-analysis skills.
• Experience developing reports, dashboards, and data visualizations.

Equivalent combinations of relevant education, experience, training, and certifications may be considered.

TECHNICAL SKILLS

Candidates should demonstrate experience with several of the following:

• SQL
• Microsoft Excel
• Power BI and/or Tableau
• Data visualization
• Data cleansing and validation
• Data modeling
• Data quality management
• ETL/ELT concepts
• Relational databases
• Microsoft SQL Server, Oracle, PostgreSQL, or comparable databases
• Python and/or R
• Data warehouses and data marts
• Microsoft Azure or comparable cloud data platforms
• Statistical and trend analysis

PREFERRED QUALIFICATIONS

Preference may be given to candidates with:

• Public-sector, government, education, or regulated-industry experience.
• Experience with enterprise reporting and analytics environments.
• Experience with Power BI, SQL, and advanced Excel.
• Experience with data governance and data-quality initiatives.
• Experience analyzing operational, financial, HR, technology, or performance data.
• Experience supporting ERP, HCM, financial, or other enterprise systems.
• Knowledge of cloud-based analytics and data platforms.

Relevant Microsoft, Power BI, Tableau, SQL, Azure, data analytics, or comparable certifications are preferred.

KNOWLEDGE, SKILLS & ABILITIES

• Strong analytical and problem-solving skills.
• Excellent attention to detail and data accuracy.
• Ability to interpret complex data and communicate meaningful insights.
• Strong written and verbal communication skills.
• Ability to communicate effectively with technical and nontechnical stakeholders.
• Ability to manage multiple priorities and deadlines.
• Strong documentation and organizational skills.
• Ability to maintain confidentiality when working with sensitive information.