Data Reporting and Analytics Consultant IV

Job SummaryThis individual contributor is primarily responsible for driving strategic data-informed decisions, gathering data and information on targeted variables in an established systematic fashion, preparing data for analytic efforts, and interpreting data analyses. This position executes creative data analytic approaches leading to actionable outcomes, develops, implements, and automates business and reporting solutions, and develops analytical and/or statistical models enabling informed business decisions. Essential ResponsibilitiesSelf-development & enables others: Shares resources/advice; builds cross-functional relationships; influences via technical explanations; adapts to competing demands; seeks/applies feedback; coaches others; executes development plans; supports collaboration; learns from change.Work execution & project delivery: Applies subject-matter expertise; supports work plans to meet priorities/deadlines; ensures procedures/policies are followed; coordinates resources; collaborates cross-functionally; solves complex problems; escalates risks; drives continuous improvement.Analytics & metrics: Defines and calculates metrics; develops/validates algorithms; conducts descriptive, correlational, inferential, and/or predictive analyses.BI, reporting & automation: Designs and implements reporting solutions with stakeholders; automates recurring reporting; ensures consistency/coherency; summarizes data and key results; builds reports/visualizations/interactive BI; documents solutions and processes; identifies additional reporting needs.Insights & storytelling: Interprets findings in context; communicates insights via reports/presentations; explains limitations and assumptions; influences decision-making with a clear narrative.Strategic, data-informed decision support: Consults to clarify business needs; defines outcomes and process measures; translates requirements into data needs and collection methods; creates analysis plans; measures impact; identifies efficiency opportunities; trains end users; documents deliverables.Data acquisition & management: Validates sources; queries/merges/extracts across systems; completes routine refreshes/updates; develops/delivers electronic data collection tools; provides user training/support/documentation.Model development: Determines analytical requirements; develops statistical/analytical models; tests/refines/validates models to generate actionable insights.Data preparation & quality: Integrates and consolidates data; ensures accuracy; profiles issues and recommends process/system improvements; cleans data and produces final analytic datasets.
Job QualificationsMinimum Qualifications Minimum one (1) year experience in a leadership role with or without direct reports.Bachelor’s degree in mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field and minimum five (5) years’ experience in data analytics or a directly related field. Additional equivalent work experience in a directly related field may be substituted for the degree requirement.Additional RequirementsMinimum four (4) years’ statistical analysis experienceThree (3) years’ experience working with statistical analysis software.Three (3) years’ programming experience.Three (3) years’ experience working with data extraction and manipulation language.Three (3) years’ experience working with business intelligence tools.Three (3) years’ experience working with either one of data visualization tools - Tableau, Power BI (preferred)Demonstrated growth mindset and commitment to continuous learning, with a track record of staying current on evolving data science tools, technologies, and industry trends. Ability to translate business questions into analytically sound and practical solutions.Proven ability to communicate complex analytical findings clearly to non‑technical audiences through written summaries, visualizations, and executive‑level presentations. Core CompetenciesStrong critical thinking and problem-solving skills with the ability to operate effectively in ambiguous and complex environments.Excellent written and verbal communication skills with demonstrated executive level storytelling.Proven ability to influence across functions and organizational levels.Strong business acumen, attention to detail, and results orientation. Technical & Analytical SkillsAdvanced analytical techniques: cross sectional and time series analysis, statistical inference and regression, forecasting, classification, clustering, and tree modeling.Expert level proficiency in analytics and data programming languages, including Python and DAX.Strong experience with data integration, data quality management, relational databases, and SQL.Expertise in advanced data visualization and business intelligence solution design.
Preferred QualificationsDemonstrated fluency with modern data preparation and analytics tools, including Alteryx, KNIME, Tableau, and Power BI.Experience working with Databricks or similar cloud-based data platforms, with demonstrated ability to apply it within analytics and data science workflows.Strong grounding in statistical inference, experimentation, and model evaluation, with the ability to assess uncertainty, bias, and limitations of analytical outputs.Three (3) years’ experience working with SPSS.