Job Opportunity: Data Analyst - Hanover, MD (Hybrid) - 6 months + (Potential for Extension)
Venu Goud
Job Opportunity: Data Analyst
Location: Hanover, MD (Hybrid)
Duration: 6 months + (Potential for Extension)
Send me the resumes to Ve...@techrakers.com
Only H1B'S, H4(E.A.D's). No G.C holders | Locals required
Job Description:
The Data Analyst serves as a liaison between business stakeholders and technical teams, translating business objectives into actionable data solutions. This role combines business analysis, data analysis, requirements documentation, data validation, and reporting responsibilities to support enterprise analytics, operational decision-making, and continuous process improvement.
The ideal candidate is highly analytical, collaborative, and comfortable working with business leaders, product teams, data engineers, architects, QA teams, and reporting teams. This role requires strong SQL skills, hands-on experience with Snowflake, and the ability to convert complex data into clear insights, requirements, dashboards, and recommendations.
Essential Functions
Business Analysis
Partner with business stakeholders to understand strategic objectives, business processes, operational challenges, and reporting needs.
Gather, analyze, document, and validate functional and non-functional requirements.
Facilitate discovery sessions, workshops, stakeholder interviews, and requirements review meetings.
Translate business requirements into user stories, acceptance criteria, process flows, data requirements, and functional specifications.
Perform impact analysis and recommend process improvements using data-driven insights.
Collaborate with Product Owners, Project Managers, Data Engineers, Architects, QA teams, and business users throughout the delivery lifecycle.
Support User Acceptance Testing (UAT), defect triage, production validation, and solution signoff activities.
Data Analysis
Analyze large and complex datasets to identify trends, patterns, risks, root causes, and opportunities.
Develop SQL queries to extract, transform, profile, reconcile, and validate enterprise data.
Create dashboards, reports, and executive-ready insights using BI and reporting tools.
Perform data profiling, reconciliation, root cause analysis, and data quality assessments.
Define, document, and monitor business KPIs, operational metrics, and reporting logic.
Present findings, insights, and recommendations to business stakeholders and leadership teams.
Snowflake & Data Platform
Query and analyze data within Snowflake using advanced SQL.
Understand core Snowflake concepts including databases, schemas, warehouses, stages, streams, tasks, secure views, and role-based access.
Collaborate with Data Engineering teams supporting ETL/ELT pipelines, data models, and enterprise data integrations.
Validate data loads, transformation logic, and data consistency across enterprise platforms.
Support data governance, metadata management, data lineage, and data quality initiatives.
Partner with technical teams to troubleshoot data issues and communicate resolution options to business stakeholders.
Cross-Functional Collaboration
Partner with Data Engineers, Architects, Product Managers, Business Leaders, QA teams, and reporting stakeholders.
Participate in Agile ceremonies including sprint planning, daily stand-ups, reviews, backlog refinement, and retrospectives.
Assist with release planning, production validation, documentation, and post-release support activities.
Document business processes, data lineage, reporting definitions, acceptance criteria, and solution designs.
Communicate project status, risks, issues, dependencies, and decisions clearly to technical and non-technical audiences.
Minimum Education and Experience
Bachelor’s degree in information systems, Computer Science, Data Analytics, or a related field; equivalent business or technical experience may be considered.
5+ years of business analysis, data analysis, business intelligence, analytics, or related experience.
Strong experience writing complex SQL queries for data analysis, validation, and reporting.
Hands-on experience working with Snowflake or a comparable cloud data platform.
Experience translating business needs into requirements, user stories, acceptance criteria, and technical specifications.
Experience performing data validation, reconciliation, root cause analysis, and data quality assessments.
Experience working in Agile/Scrum environments.
Preferred Qualifications
Experience with Tableau, Power BI, or similar BI/reporting tools.
Experience with cloud data platforms (e.g., AWS, Azure, Google Cloud)
Knowledge of ETL/ELT tools such as Matillion, Informatica, dbt, or comparable platforms.
Familiarity with APIs, system integrations, and enterprise data movement patterns.
Understanding of data warehousing concepts, dimensional modeling, and reporting layer design.
Knowledge of data governance, metadata management, and data quality frameworks.
Experience supporting enterprise analytics, reporting, or digital transformation initiatives.
Skills/Abilities
Advanced SQL and data analysis skills.
Experience with Python for data analysis, automation, or validation.
Hands-on Snowflake experience, including querying, validation, and familiarity with core platform objects.
Strong requirements gathering, documentation, facilitation, and stakeholder management skills.
Ability to translate complex business needs into clear requirements, reporting logic, and technical specifications.
Strong analytical, critical thinking, problem-solving, and root cause analysis skills.
Ability to communicate data insights clearly to technical, business, and leadership audiences.
Experience with Microsoft Excel and collaboration tools.
Ability to manage multiple priorities in a fast-paced environment.
Strong attention to detail and commitment to data accuracy, quality, and consistency.