Analytics Analyst - Quality

DESCRIPTION

Key Responsibilities:

• Support data, compliance, and environment governance processes for the assigned domain.
• Facilitate an intake process to reduce rework and promote reuse of analytics solutions.
• Collaborate with peers to integrate data from warehouse, data lake, and other source systems to build relevant models for business use.
• Cleanse data to ensure report accuracy and reduce data duplication, maintaining documentation of the cleansing process.
• Support analytics projects to produce insights for the business, improving decision-making through reports, business intelligence technology, or other mechanisms.
• Establish and enforce guidelines and standards for data collection, integration, and processes.
• Ingest key data for the assigned domain into the data lake, ensuring creation and maintenance of relevant metadata and data profiles.
• Assist stakeholders and business teams in finding necessary and relevant data.
• Participate in communities of practice promoting responsible use of analytics.
• Coach and assist business users in developing capability within the analytics ecosystem.
• Prepare communications for leaders and stakeholders.

• College, university, or equivalent degree in a relevant technical discipline, or relevant equivalent experience required.
• This position may require licensing for compliance with export controls or sanctions regulations.

• Collaborates: Building partnerships and working collaboratively with others to meet shared objectives.
• Communicates effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.
• Customer focus: Building strong customer relationships and delivering customer-centric solutions.
• Interpersonal savvy: Relating openly and comfortably with diverse groups of people.
• Data Analytics: Discovering, interpreting, and communicating qualitative and quantitative data; determining conclusions based on business or functional frameworks; applying statistics, data validity, data visualization, and problem-solving approaches to extract meaningful patterns and business insights; presenting conclusions and outcomes that enable data-driven business decisions.
• Data Mining: Extracting insights from data by identifying relationships and patterns through data exploration and visualization techniques.
• Data Modeling: Creating, writing, and testing data models, test scripts, and build scripts using industry standards and tools, version control, and build and test automation to meet business, technical, security, governance, and compliance requirements.
• Data Communication and Visualization: Constructing a narrative of the business problem, root cause, solution options, and opportunities through data visualization, including reports and dashboards.
• Data Literacy: Expressing data in context, including data sources and constructs, analytical methods, and applied techniques; describing the use-case application and resulting value.
• Data Profiling: Assessing data issues and cleansing requirements to perform data extraction, mapping, collection, and testing; establishing good, quality data.
• Data Quality: Identifying, understanding, and correcting flaws in data to support effective information governance across operational business processes and decision-making.
• Values differences: Recognizing the value that different perspectives and cultures bring to an organization.

• Proficiency with power platforms.
• Power app, power BI, SQL queries.

• 4+ Years relevant experience