• Fortune 500 company
• Great place to work
• Open and collaborative culture
• Passionate in what they do
• Work-life balance
• Great benefits
• Hybrid – 2-3 days in office with travel to Miami, FL
• Alpharetta, GA or Miami, FL

What are we looking for?

An analytics and data engineering professional with a passion and track record for designing analytics and delivery methods to increase accuracy of reporting and advanced analytics in an agile environment to unlock transformational growth. Someone with intellectual curiosity who wakes up excited to work with a team towards excellence and partner with leaders to drive business outcomes and deliver analytical solutions. The ideal candidate is business-minded, customer-centric, team-oriented, self-motivated, a strategic thinker and results-driven.

WHAT YOU'LL DO:

Behaviors:

• Build Teams that thrive. As an experienced leader, you want everyone to shine. You are constantly looking for ways to share your knowledge, motivate others, and keep everyone engaged and productive.
• Customer focused. You marry data strategy to business strategy. A trusted partner to key stakeholders across business and analytics functions who understands how data can be activated to deliver value. Your teams are responsible for democratizing data for data science and advanced applications.
• Learning. You’re always learning new technologies and processes with tools and other training courses, conferences, and operating with a “learn as you go” approach with a willingness to figure out new ways of doing things.
• Create Results. You’re proactive and hands-on when need.  When you see a potential issue, you never leave things hanging and unfinished. When you and your team deliver a finished product, it’s as polished as you could make it.
• Variety of work. There is no typical day.  You could be checking in with the CDO one minute, meeting with leadership to review initiatives for the coming quarter later and tomorrow helping your team overcome blockers.
• Influence and inspire confidence. You are comfortable presenting to senior leaders, product owners, and peers with a compelling voice that you demonstrate through executive presence, leading change, and creating clear executive-level communications on milestone achievements.
• Challenges. Inevitable challenges will arise, and we’ll rely on you to look for a solution. You rise to the occasion and attack problems with your team.

• Catalog current analytics and automation processes and recommend best practice methods for improvement and optimization
• Partner with Analytics, Data Product, and Business stakeholders to create roadmaps and execute project plans in fast-paced agile development environment
• Partner with the Advanced Analytics and Strategic Operations to streamline data integration, maintain security and access best practices, and create end-to-end data analytics solutions
• Initially manage and mentor a team of 5-10 associates that will work in matrix pod to support advanced analytics initiatives
• Research and recommend technologies and processes to support rapid scale and future state growth initiatives
• Help your team prioritize Business Needs, Leadership Questions, and Ad Hoc Requests for on-time delivery
• Manage team leadership reporting, and continuous improvement initiatives
• Drive QA and Data Quality efforts to improve development timelines, reduce bugs, and maintain reliable analytics products
• Support projects that improve our performance (e.g. Retention & Future of Work): aligning with product strategy and understanding stakeholder requirements
• Experienced getting to a v0.5 solution, getting real world feedback, and then iterating to v1.0+ with a continuous improvement mindset
• Successful track record of superior service delivery and change management in an enterprise organization

• A least 8+ years of total work experience, 6+ years in designing solutions, owning platforms, and driving development projects, and someone with 5+ years in team leadership and people management
• Strong analytics, automation, and data experience
• Preferably working in PEO, Service, or Risk analytics, data engineering, data analytics and visualization, business intelligence, or analytical consulting
• Proven ability to guide team to use data, analytics, and business knowledge to solve complex business problems
• Proven experience designing analytics and delivery methods to increase accuracy of reporting in an agile environment
• Experience and skill with data mining methods, data modeling, and working with data warehouses
• Strategic thinker with extensive coding or enterprise data engineering experience
• Future forward visionary who can not only see where we need to be in 3 years, but who can also develop a compelling, practical approach to how we get there starting tomorrow
• Ability to tell stories with data to senior leadership highlighting team dynamics, celebrating successes, and identifying opportunities for improvement
• Excellent verbal/written communication skills and effective presentation skills

A college degree is great but not required. What's more important is having the skills to do the job. If you don't have a college degree, other acceptable experiences could include:

• Experience noted above, OR
• Military experience where skills including teamwork, adaptability, organization, and follow-through will help you build team and client relationships, identify solutions, and achieve success

• Advanced degree (Masters) in Software engineering, Data engineering, Computer Science, or other data management and data visualization disciplines. MBA.
• 5 + Years of hands-on experience on Bigdata Technologies like Apache Spark , Hive, Hadoop is must
• Experience with developing frameworks and utility services including logging/monitoring
• Strong technical knowledge of DataBricks
• Knowledge of UNIX/Python programming language.
• Experience delivering high quality software following continuous delivery and using code quality tools (JIRA,GitHub, Jenkin, Sonar, etc.).
• Experience creating large-scale, multi-tiered, distributed applications with Hadoop and ETL tool like Abinitio
• Comfortable in Windows and Linux environments.
• Comfortable with different data storage solutions such as RDMBS(Oracle), Hive, HBase, Impala etc.
• Knowledge on NOSQL Databases like MongoDB, Hbase, Cassandra etc is a plus.