200+ applicants

Company

Original Job Post

Honeywell · 6 days ago

Sr Data Analyst

Kansas City, MO

Full-time

Onsite

Senior Level

5+ years exp

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Responsibilities

Utilize analytical and technical skills for translating and analyzing business needs into requirements and lead the design and implementation of multiple complex analytics solutions (reports, dashboards, data mining) and/or governance solutions (cataloging, data quality, access management)

Work with project work streams, business stakeholders to design, implement and maintain best practice analytics and data governance information products and processes to support the business.

Perform data analysis by querying data sets in databases, spreadsheets, semi-structured data, and flat file format to identify and document master data, reference data, transaction data, business rules, data integration rules, data mapping and transformations.

Document internal processes and audit procedures to ensure data integrity of solutions

Research and resolve unexpected results or internal process flaws. Effectively prioritize and deploy solutions that can replace manual process

Design and support data models optimized to support analytical tools such as Microstrategy, Tableau, PowerBI and create BI reports.

Support development of master data, data cataloging and data quality processes in data management tools.

Gathers data from multiple sources and performs moderate to complex analysis, generating reports supportive of organizational metrics and client services.

Support a variety of information management projects of a highly varied nature including data analysis, data mining and data optimization

Develop and follow standard operating procedures for regularly occurring processes

Mentor, Cross-train and provide back-up coverage to other team members when needed

Operating at the Sr Analyst level, duties/responsibilities should be carried out with autonomy and require minimal direct supervision of day-to-day tasks and only high-level direction from departmental leadership. Should have the ability to support and coach others while maintaining productivity on directly assigned work.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data ManagementData AnalysisUS CitizenshipSecurity ClearanceProblem-SolvingAnalytical ThinkingDatabase technologiesSQLPL/SQLT/SQLNoSQLMicrostrategyTableauPowerBIMDMData CatalogData Quality toolsData flow diagramsUMLData virtualizationData modelingData warehouseData movementUnified semantic modelProcess managementBusiness process improvementBPM toolsMS ExcelAnalytical skillsInterpersonal skills

Required

Bachelors Degree or 6 years equivalent experience

5 years of demonstrated data management experience, including the ability to merge, clean and analyze large amounts of data

US Citizenship is needed to obtain and maintain the required US Dept of Energy "Q" level security clearance.

Preferred

5 years of demonstrated data management experience, including merging, cleaning, and analyzing large amounts of data.

3-5 years of technical experience utilizing database technologies and/or data process analysis experience within information architectures / digital ecosystems.

Technical experience should include SQL, PL/SQL, T/SQL, NoSQL programming, and database objects such as stored procedures, materialized views, functions etc. or analytics tools (Microstrategy, Tableau, PowerBI) or data management tools (MDM, Data Catalog, Data Quality tools)

Data Process Analysis experience should include documentation and analysis techniques such as data flow diagrams (DFD), Unified Modeling Language (UML), and analyzing system level information flow and decomposing data process dependencies within a digital ecosystem.

Experience working with Data management platforms

Experience working with data models, data warehouse, data management and data movement

Good understanding of data virtualization concepts and experience developing unified sematic model

Demonstrated ability to manage through ambiguity and competing priorities.

Excellent oral and written communication and analytical skills. Strong interpersonal and collaborative work style.

Ability to work with and manage confidential information in a professional manner.

Strong organizational and time management skills. Ability to lead/drive priorities.

Experience implementing impactful Analytics

Experience working on large scale business process improvement with results

Ability to translate business requirements into effective process management solutions

Proactive analytical and collaborative problem-solving skills with business acumen

Experience modelling processes and business rules utilizing BPM tools