Senior/Principal Data Analyst

NextGenEnergyJobs; Denver (CO); Hybrid; USD 120,000 - 190,000; Full time

Job summary

NextGenEnergyJobs in Denver is seeking an experienced analytics team lead to define, implement and support advanced analytics capabilities, driving data-driven decisions across the business.

You will lead data wrangling, SQL-driven analysis, and visual analytics with Power BI and SAP, collaborating with stakeholders and guiding a cross-functional team to deliver measurable business impact.

Qualifications

• Bachelor's degree in MIS, CIS, Statistics, Analytics or equivalent experience.
• At least 5 years of analytics experience.
• Expertise in SQL.
• Experience with visual analytics tools (Power BI, SAP) and data warehouses.
• Ability to wrangle data and work with large datasets.
• Strong communication and collaboration across business functions.
• Leadership experience and ability to lead a team.

Responsibilities

• Define, implement and support advanced analytics solutions and capabilities.
• Lead workload and priorities for the analytics team.
• Wrangle and analyze data from multiple sources.
• Create meaningful visualizations to communicate insights.
• Collaborate with stakeholders and cross-functional teams.
• Communicate findings to senior management and clients.
• Maintain data quality and governance practices.

Skills

Leadership

Attention to detail

Data wrangling

Structured data/Unstructured data

Visual analytics

Communication with stakeholders

Education

Bachelor's degree in MIS, CIS, Statistics, Analytics or related IT

Tools

SQL

Power BI

SAP

Big Data Platform

Analytics Data Warehouse

Job description

Connected, Committed, Trustworthy, Safe

Responsibilities

• Responsible as team lead for defining, implementing and supporting advanced analytics solutions and capabilities. Determines work load and priority for the team. Provides expertise in the integration, analysis and wrangling of data in support of solving business problems. Manipulates/ analyzes complex datasets with a variety of tools; communicates results clearly and concisely to provide insight to multiple audiences.
• Data Wrangling/Exploration: Follow consistent practices to ensure data integrity and deal with imperfections in data. Effectively process structured data; proficiently integrate data sets from various sources; confidently draw conclusions from data. Collaborate with business stakeholders as needed to ensure solid data understanding and proper data transformation; work cross-functionally with development and engineering teams. Analyze large amounts of information to discover trends and patterns; draw conclusions and gain actionable insights from data.
• Programming: Develop efficient and high quality code; follow solid validation process to ensure consistency and minimize errors; adhere to version control standards. Maintain skills through continuing education; seamlessly transition between languages to apply the right approach to the right problem.
• Work Management - Manages multiple tasks, with the ability to deal with ambiguity and shifting priorities. Communicates status and estimates clearly and timely to management and team members.
• Data Visualization: Create meaningful data visualizations to communicate results and highlight business impact. Utilize various visualization techniques and delivery methods of visualization that are audience appropriate (e.g. interactive, statistical, and exploratory).
• Communication: Effectively communicate technical information to numerous audiences (e.g. senior management, client community, peers and junior associates); effectively develop relationships with individuals inside and outside of IT. Address challenges to analytic processes and influence others to change their approach and work collectively to implement new tools/techniques. Gain support from related stakeholders for analytic solutions.
• Continuing Education - takes a proactive approach to understanding industry and organization-specific business issues. Participates in structured and self-study training courses. Continually improves technical skills and learns new data sources.

Requirements

• Bachelor's degree in MIS, CIS, Statistics, Analytics or related IT degree or sufficient experience
• Minimum of 5 years of experience in an analytics environment
• Expertise in SQL
• Comfortable working with large, complex data sets - drawing conclusions and proposing recommendations
• Proven ability to effectively partner, collaborate, and communicate with technical and non-technical colleagues in various business functions at all levels
• Hands-on experience constructing visual analytics
• Working knowledge of an analytics data warehouse and big data platform
• Familiarity with fundamentals of statistics, probability and data pipelines
• Strong attention to detail
• Demonstrated ability to wrangle data
• Comfortable working with structured and unstructured data
• Bachelor's degree in MIS, CIS, Statistics, Analytics or related IT degree or equivalent experience
• Minimum of 8 years' experience in an analytics environment
• Expertise in SQL
• Comfortable working with large, complex data sets - drawing conclusions and proposing recommendations
• Proven ability to effectively partner, collaborate, and communicate with technical and non-technical colleagues in various business functions at all levels
• Hands-on experience constructing visual analytics with SAP products and or Microsoft Power BI
• Working knowledge of an analytics data warehouse
• Working knowledge of a big data platform
• Familiarity with fundamentals of statistics and probability
• Familiarity with fundamentals of data pipelines
• Strong attention to detail
• Demonstrated ability to wrangle data
• Comfortable working with structured and unstructured data
• Demonstrated leadership skills with the ability to lead a team
• Our culture is grounded in shared values and employee commitments that guide how we work, support one another, and grow together.