Senior Data Analyst

Patch Tech Staffing; Toronto; On-site; CAD 100,000 - 160,000; Part time

Job summary

Join Patch Tech Staffing as a Senior Data Analyst, pivotal in optimizing our client's data ecosystem. You'll bridge business needs with technical solutions, enhancing decision-making and reporting capabilities. With a strong emphasis on SQL and data flow mapping, this role offers a significant opportunity to impact key projects in the life insurance sector.

Qualifications

• Minimum 8 years as a Business Systems Analyst and/or Data Analyst.
• Experience working for a Life Insurance client in a data-focused role.
• Excellent analytical, problem-solving, and critical thinking skills.

Responsibilities

• Conduct in-depth analysis of existing data flows from various source systems.
• Utilize advanced SQL skills to query, analyze, and validate data.
• Prepare and maintain high-quality documentation in Confluence.

Skills

SQL

Data Analysis

Communication

Problem Solving

Documentation

Data Visualization

Tools

Confluence

Tableau

Power BI

Job description

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Senior Technical Recruiter @ Patch Tech Staffing | Talent Acquisition

As a Senior Data Analyst, you will play a pivotal role in understanding, documenting, and optimizing our client's data ecosystem. You will be instrumental in bridging the gap between business needs and technical solutions, streamlining data-driven decision-making, and enhancing reporting capabilities. This role requires a strong blend of technical expertise, analytical competence, and excellent communication skills. Our client is a leading player in the life insurance industry, undergoing significant data modernization initiatives. This is an excellent opportunity to make a substantial impact by shaping their data landscape and contributing to critical strategic projects.

Key Responsibilities:

• Data Flow Mapping & Analysis:
• Conduct in-depth analysis of existing data flows from various source systems within the life insurance domain.
• Create comprehensive "as-is" documentation of current data architectures, data lineage, transformations, and system integrations.
• Collaborate with business stakeholders and technical teams to define and document the "to-be" data states, identifying opportunities for optimization and improvement.
• Requirements Gathering & Documentation:
• Partner with business users to elicit, analyze, and document detailed requirements for reporting, dashboards, and data visualization initiatives.
• Translate complex business requirements into clear, concise, and actionable technical specifications.
• Prepare and maintain extensive, high-quality documentation in our client's Confluence system, including data dictionaries, data models, process flows, and requirements traceability matrices.
• Data Analysis & SQL:
• Utilize advanced SQL skills to query, analyze, and validate data from diverse databases.
• Perform data profiling, data quality assessments, and identify discrepancies or anomalies.
• Support data migration and integration efforts through data mapping and validation.
• Act as a primary liaison with third-party vendors involved in data-related projects, ensuring clear communication, scope adherence, and successful delivery.
• Oversee vendor performance, manage expectations, and resolve any issues or roadblocks.
• Work closely with cross-functional teams, including business users, IT developers, solution architects, and project managers.
• Facilitate workshops and meetings to gather information, present findings, and gain consensus.
• Communicate complex technical concepts to non-technical stakeholders effectively.

Required Qualifications:

• Minimum 8 years of progressive experience as a Business Systems Analyst and/or Data Analyst.
• Demonstrable experience working for a Life Insurance client in a data-focused role
• Must-have expertise in SQL for data querying, analysis, and validation.
• Proven experience in mapping and documenting complex data flows and system integrations.
• Strong background in gathering and documenting business requirements for reporting and analytical solutions.
• Proficiency in preparing extensive documentation within Confluence or similar systems.
• Mandatory experience managing and collaborating with external vendors on data-related projects.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional written and verbal communication skills.
• Ability to work independently and manage multiple priorities in a fast-paced, fully remote environment.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Familiarity with data warehousing concepts and ETL processes.
• Understanding of data governance principles.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  Insurance

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