Data Analyst

2 weeks ago

Austin, TX, United States Omni Inclusive Full time
Data Analyst (Data profiling & Reporting)

Education Qualification:
Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, Business Analytics, Information Systems, or a related field.
Experience:
  • 5+ Years of IT Experience as Data Analyst or in similar role.
  • Proven experience in data requirements gathering, data profiling, and data analysis.
  • Experience with data quality management and data governance principles.
Technical Skills:
  • Expertise in data profiling and Data Modeling.
  • Experience with data visualization tools (e.g., Tableau, Power BI, Qlik Sense, Google Data Studio).
  • Solid understanding of database structures, data warehousing concepts and ETL processes.
  • Proficiency in SQL for data querying and manipulation.
  • Proficiency in Microsoft Excel (advanced functions, pivot tables).
  • Adept in translating business requirements into technical specifications.
  • Strong organizational skills and ability to manage multiple tasks concurrently.
  • Collaborative mindset and ability to work effectively in a team environment.
  • Ability to facilitate discussions and build consensus among diverse stakeholders.
  • Adept in Agile and Waterfall methodologies, known for delivering complex projects on time and enhancing efficiency.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Excellent analytical, problem-solving, and critical-thinking skills.
  • Excellent verbal and written communication skills, with the ability to present complex information clearly.
Good to Have:
  • Experience with statistical programming languages (e.g., Python, R).
  • Experience analyzing data from project management software (e.g., Jira, Microsoft Project, ServiceNow).
  • Experience with cloud-based data services (e.g., AWS Redshift, Azure Synapse Analytics, Google BigQuery).
  • Certification in data analytics or relevant technologies.
Key Responsibilities:
  • Collaborate with business stakeholders to elicit, analyze, and document data requirements for new business capabilities, functional enhancements, and reporting solutions.
  • Create, define, and document detailed requirements for data integration, migration, and transformation processes, including current-to-future state mapping and non-functional requirements.
  • Perform comprehensive data profiling and availability analysis by engaging with Subject Matter Experts (SMEs) and business representatives to understand existing data landscapes and sources.
  • Evaluate the quality of data, identify and interpret trends, patterns, and anomalies within complex datasets.
  • Define and document data quality rules for critical data elements.
  • Collaborate with data quality analysts and business stakeholders to implement strategies for data quality improvement and monitor their effectiveness.
  • Facilitate data harmonization discussions with global business stakeholders to ensure consistency and alignment of data definitions and usage.
  • Support data governance initiatives by participating in discussions, defining data standards, and assisting business stakeholders in understanding and adhering to governance policies for key data attributes.
  • Develop, maintain, and update data dictionaries, business glossaries, and metadata repositories for assigned data domains.
  • Participate in data testing and validation activities to ensure data accuracy, integrity, and fitness for purpose of solutions and reports.
  • Effectively communicate analytical findings, insights, and recommendations to both technical and non-technical audiences.
  • Work closely with cross-functional teams including business users, IT, data engineers, and project managers.

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