Principal Data Analyst, EIM Analytics

This is a fully remote position, open to applicants in Massachusetts, +1 more state.

📋 Description

• Develop, illustrate, sustain, and implement the roadmap and vision for data management and analytics.

• Collaborate with business leaders and the analytics team to ensure alignment of priorities with the overall business strategy.

• Identify gaps in technology, researching and presenting suggested solutions.

• Transition data and reporting priorities to the EIM platform for enterprise-wide delivery.

• Oversee the delegation of workloads and manage ad hoc requests.

• Maintain project plans at the milestone level, anticipate resource requirements, mitigate risks, and ensure timely delivery.

• Mentor and provide training for members of the analytics team.

• Validate data sources, analyze data quality, and identify gaps and opportunities for improvement.

• Develop a deep understanding of Ascensus data sources, including their purpose, structure, definitions, and population methods.

• Carry out data preparation tasks using the CRISP-DM methodology.

• Conduct data segmentation, review, and reporting of extensive data sources.

• Monitor and chart data and models for regularly scheduled jobs.

• Adhere to and propose enhancements to data governance standards.

• Present analytics findings and machine-learning updates using BI and other tools.

• Guide users in utilizing available business intelligence resources.

• Create and maintain comprehensive documentation for analytics data sources.

• Design, document, code, tune, and modify ETL solutions.

• Apply best practices and standards for Ascensus ETL tools in collaboration with data scientists, DBA leadership, and the EIM team.

• Safeguard and appropriately manage confidential Ascensus data.

• In certain situations, oversee a small team, including mentoring, setting goals, conducting performance reviews, managing time-off, and fulfilling other managerial responsibilities.

• Support the development of the data analytics practice while promoting creativity and intellectual curiosity.

⛳️ Requirements

• Postgraduate degree in data, mathematics, or a related field.

• Over 10 years of experience related to data, demonstrating a proven ability to generate business value through analysis.

• Advanced skills in analytics and data mining.

• Capability to apply analytical techniques and translate findings into actionable business insights and recommendations.

• Knowledge of mathematical principles and methodologies.

• Understanding of data warehousing concepts.

• Experience or familiarity with data marts and data definition practices.

• Proficiency in writing complex SQL statements.

• Strong verbal and written communication abilities.

• Excellent interpersonal and collaboration skills.

• Experience in business relationships and a capacity to learn about products, services, clients, and business considerations.

• Ability to manage time effectively, prioritize tasks, and lead others to meet deadlines.

• Exceptional analytical skills.

• Experience with relational databases such as Sybase ASE, SQL Server, Oracle, and MySQL.

• Proven experience or education in data structure.

• Experience in creating business intelligence reports and dashboards.

• Extensive experience with database and statistical technologies.

• Leadership experience is preferred.

• Knowledge in the retirement or government savings domain is preferred.

• Familiarity with Ascensus data sources is preferred.

• At least 2 years of Microsoft DBA skills, including SSIS, SQL, and BCP, with experience in recent Microsoft SSIS versions.

• Minimum of 2 years of relevant experience in ETL or data analyst roles, including data mining and/or ETL development.

🏝️ Benefits

• Equal Opportunity Employer.

• No payment is required from applicants.

• Applicants will not need to purchase equipment.