Sr. Data Analyst

Overview

Hybrid
Depends on Experience
Full Time
No Travel Required

Skills

Data Analyst
Azure
power Platform
ETL
Power BI
Tableau

Job Details

Job Summary:

This Sr Level position is responsible for analyzing, evaluating, Documenting and delivering on data requirements, as well as maintaining, analyzing and transforming data into insights to guide strategy and inform program data, data systems and software decisions

Responsibilities:

  • Develops complex SQL queries and stored procedures for data analysis, quality control, data integrity, and reporting datasets.
  • Develops, enhances, and maintains reports and visualizations using Power Bl and other Microsoft-based applications.
  • Performs a variety of research, analysis, design, testing, integration, maintenance, support, and troubleshooting tasks
  • Collects, analyzes, interprets, and summarizes novel data and incorporates attributes into new or existing datasets for reporting and visualization.
  • Develops and serves as a subject matter expert regarding data management practices and contributes to increasing the data maturity by providing guidance and hands-on support.
  • Responsible for leading and facilitating interview sessions with technical and business stakeholders to understand and document application, data, and reporting requirements. Guides stakeholders through data harmonization activities to enhance the quality and utility of business data.
  • Communicates summary analysis and findings to stakeholders, both internal and external.
  • Performs daily data quality control and integrity checks and makes recommendations for automation opportunities. Identifies, recommends, and implements process
  • optimization programs using best practice methodologies. Facilitates automation efforts by developing and deploying minor applications to complement existing lineof-business applications.
  • Conducts and supports data profiling activities in relation to data quality assessment and metadata analysis. Develops and manages the enterprise data dictionary by
  • recording data attributes and associated metadata to increase the understanding and utility of data.
  • Establishes and applies data standards and documentation.
  • Establishes and applies data modeling practices and data architecture options; provides guidance and support to stakeholders.
  • Supports new enterprise-level information management capabilities and related change efforts.
  • Coordinates with internal service providers and end users to ensure technical compatibility and user satisfaction. Works directly with third-party vendors to
  • coordinate release upgrades, resolve system failures, and define specifications for new system features.
  • Performs project management activities, including project plan development, status tracking, and coordination of teams.
  • Creates non-technical summaries and other materials to assist in the communication of project efforts and outcomes.
  • Provides reporting assistance and technical training to non-technical end-users.
  • Drives product adoption and ensures a positive user experience and understanding by hosting product user groups and facilitating product-related knowledge-sharing.
  • Understands the strategic importance and value proposition of assigned products and seeks to position products to maximize customer value.
  • Performs other duties as required.

Knowledge, Skills & Abilities:

  • Working knowledge of ETL processes that include data integration, data quality, and data profiling.
  • Knowledge of Microsoft Office 365 and the Microsoft Power Platform.
  • Knowledge of statistical analyses, datasets, and associated software such as SAS, R.
  • Knowledge of agile project management methods. Skill in prioritizing and organizing
  • multiple tasks and the ability to complete projects in a timely manner, frequently under deadline pressure.
  • Familiarity with data architecture, storage, archiving, lineage, and impact analysis.
  • Excellent analytical skills, including the ability to quickly and accurately wrangle, analyze and interpret data, identify and define data integrity issues, and make
  • recommendations for resolution. Familiarity with business process modeling.
  • Project management understanding of project scopes, project schedules, budgets, and resource allocation for on-time, on-budget projects.
  • Skilled in writing and maintaining accurate records, reports, and plans to meet management objectives.
  • Excellent facilitation and conflict management skills.
  • Must have excellent interpersonal and communication skills with both technical and non-technical audiences. Ability to provide excellent customer service.
  • Must possess a high level of professionalism and integrity to handle sensitive and confidential situations and information.
  • Must have strong customer service, teamwork, and contract management skills.
  • Ability to work cross-functionally with IT teams and key stakeholders, utilizing analytical skills in understanding data flows, dissecting problems, and delivering clear
  • recommendations and guidance.
  • Ability to respond in a flexible manner and reprioritize work as situations change.
  • Ability to work independently and in a team environment.
  • Ability to establish and maintain effective working relationships with co-workers, County staff, partner organizations, and vendors.
  • Maintain regular and punctual attendance.

Required Education & Experience

  • Bachelor's degree in computer science, information systems, project management, business administration, or related field.
  • Five years of related information technology experience.
  • Experience with report development using Microsoft Power BI, Tableau, or similar products.
  • Hands-on experience in SQL-based analysis and development and related backend database technologies.
  • Demonstrated experience using Azure Synapse Data Factory, Data Lake, Data Bricks, and PowerBI.
  • Demonstrated experience taking initiative and driving innovation.

Preferred Education & Experience

Experience with data/information lifecycle management and governance, metadata management, information classification, data quality, data usage, data analysis, document management, privacy, and information security.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About SYSTEM SOFT TECHNOLOGIES LLC