Principal Data Analyst, EIM Analytics

Ascensus

. Develop, illustrate, maintain and execute the data management and data analytics roadmap and vision .

Posted 11/9/2026full-timeRemote • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data management and analytics, with a strong focus on deriving actionable business insights through advanced analytical techniques and data mining. Proficient in ETL processes and data governance, with leadership experience in mentoring teams and managing projects effectively.

Highest-signal resume keywords

Data ManagementAdvanced AnalyticsSQL ProficiencyETL DevelopmentLeadership Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data MiningData WarehousingComplex SQL StatementsBusiness Intelligence ReportingData Structure ExperienceStatistical TechnologyCRISP-DM MethodologyData Quality AnalysisData SegmentationETL Solutions Design

Soft Skills

Strong Communication SkillsInterpersonal SkillsCollaboration SkillsTime ManagementMentoring

Tools & Technologies

Microsoft SSISSybase ASESQL ServerOracleMySQL

Industry Keywords

Retirement Domain KnowledgeGovernment Savings Domain KnowledgeAscensus Data Sources KnowledgeData GovernanceBusiness Relationship Management

Tech Stack

Tools & technologies

ETLMySQLOracleSQLSSIS

About the role

Key responsibilities & impact

Develop, illustrate, maintain and execute the data management and data analytics roadmap and vision
Collaborate with business leaders and the analytics team to align priorities with business strategy
Identify technology gaps and investigate and present recommended solutions
Transition data and reporting priorities to the EIM platform for enterprise delivery
Manage workload delegation and ad hoc requests
Maintain milestone-level project plans, anticipate resource needs, mitigate risks and deliver on time
Mentor and train analytics team members
Validate data sources and analyze data quality, gaps and improvement opportunities
Develop knowledge of Ascensus data sources, including their purpose, structure, definitions and population methods
Execute data preparation responsibilities using the CRISP-DM methodology
Perform data segmentation, review and reporting of expansive data sources
Monitor and chart data and models for scheduled ongoing jobs
Adhere to and recommend improvements to data governance
Deliver analytics findings and machine-learning updates through BI and other tools
Guide users on available business intelligence resources
Create and maintain analytics data-source documentation
Design, document, code, tune and modify ETL solutions
Apply standards and best practices for Ascensus ETL tools in collaboration with data scientists, DBA leadership and the EIM team
Protect and properly handle confidential Ascensus data
In some scenarios, supervise a small team, including mentoring, goal setting, performance reviews, time-off administration and other management tasks
Support development of the data analytics practice and foster creativity and intellectual curiosity

Requirements

What you’ll need

Post graduate degree in data, math or related field
10+ years of data related experience with proven ability to derive business value through analysis
Advanced analytics and data mining skills
Ability to apply analytical techniques and translate findings into actionable business insights and recommendations
Knowledge of mathematical principles and methods
Understanding of data warehousing concepts
Experience or knowledge of data marts and data definition practices
Ability to write complex SQL statements
Strong verbal and written communication skills
Strong interpersonal and collaboration skills
Business relationship experience and ability to learn products, services, clients and business considerations
Ability to manage time and prioritize work and lead others to meet deadlines
Excellent analytical skills
Experience with relational databases including Sybase ASE, SQL Server, Oracle and MySQL
Proven data structure experience or education
Experience building business intelligence reports and dashboards
Broad database and statistical technology experience
Leadership experience preferred
Retirement or Government Savings domain knowledge preferred
Working knowledge of Ascensus data sources preferred
2+ years of Microsoft DBA skills including SSIS, SQL and BCP, including recent Microsoft SSIS versions
2+ years of relevant experience in ETL or data analyst roles, including data mining and/or ETL development

Benefits

Comp & perks

Equal Opportunity Employer
No payment required from applicants
Equipment will not need to be purchased by applicants