Sr. Data Analyst (Human Capital) | TELECOMMUTE - Efficus : Job Details

100% telecommute Hours: Regular day working hours with some flexibility, but must be available for most of Central Time working hours with a heavier focus on availability in the mornings Project:

• Working with customers to design data extracts based on their reporting needs
• Collaborating with Data Engineers on the data exports required from data pipelines
• Analyzing data and combining datasets to develop reporting products/solutions

Team:

• We are a team of 9 Data Engineers and Analysts + Engineering Managers/Leaders
• We have 1 product owner on the team and work with several others directly
• We have a Scrum Master aligned as well

Responsibilities:

• Be a key or core resource for complex issues, data discrepancies, and fire drills
• Assesses and interprets customer requests for feasibility, priority, and complexity and documents and delegates those requests within an agile/intake tool
• Consult with People Analytics and People Analytics team for developing and building prioritized and standard solutions.
• Develop innovative solutions for both structured and unstructured data
• Create and maintain internal process documentation and customer-facing help documents
• Lead projects and change initiatives aligned to key priorities of People Analytics and People Analytics customers
• Understands priorities and organizes prescribed and non-prescribed work to meet or exceed deadlines and expectations
• Deeply understand and innovate underlying data structures of standard reporting (complex join criteria, table sources, data types, data definitions, dataflows) and be able to find, validate, combine, and export raw and derived data assets.
• Execute intermediate programming and/or scripting in at least one of our core technologies to build applications.
• Leads functional calls for technical subjects (like weekly calls with data management or tech teams)
• Leads data validation efforts and leads data optimization solutions by requesting changes to core solutions in our data lake
• Reviews work of others and provides guidance on execution, best practices, and areas for improvement
• Works with minimal guidance; seeks guidance on only the most complex tasks
• Proactively keep data secure and decommission legacy content in our environment
• Sought out as an expert within the People Analytics community and works cross-functionally across the team/community for shared or advanced solutions
• Serves as a leader and mentor to analysts in lower grade levels
• Coaches, provides feedback, and guides others within the People Analytics community

Ideal Background: Ideal candidate would have experience in the Human Capital space, working with data from Human Capital systems Required Qualifications:

• Undergraduate degree or equivalent experience
• 4+ years of experience with Human Capital/People Teams, business or financial analysis, etc.
• 4+ years of experience analyzing data and combining datasets to develop reporting products/solutions
• 3+ years of experience building dashboards and visualizations in a data visualization tool such as Domo, Tableau, QlikView, PowerBI or similar Business Intelligence platform
• Advanced level of experience in ETL for visualization tools: complex formulas, complex inner and outer joins, reformatting and manipulating data, etc.
• Intermediate level of experience in SQL/HiveQL: counts, select statements, filters, groupings, etc.
• Experience communicating both verbally/written with people at a wide variety of levels in an organization
• Experience researching issues, investigating data accuracy, and performing quality checks
• Knowledge of JavaScript, CSS (Cascading Style Sheets), and HTML

Preferred Qualifications:

• Experience in data extraction, manipulation, and management
• Experience researching issues, investigating data accuracy, and performing quality checks
• Project Management skills
• Ability to work independently and collaborate effectively with others
• Experience creating user stories using the As a (role), I want (function) so that (business value) methodology
• Basic understanding of statistical methodologies and measurements
• Experience leading people (directly or indirectly) or large-scale projects
• 1+ years in an agile environment or with agile tools such as Rally or Swift