Business Intelligence Data Engineer

at  MAXIMUS Services LLC

Description & Requirements
About Maximus
At Maximus, we share an authentic desire to do something meaningful to help others succeed. We apply our deep operational expertise, technology innovation, and digitally enabled citizen engagement in new ways and help governments solve complex problems.
Maximus has been reinventing the way government agencies engage with citizens and are sought out by governments to solve complex problems. By supporting various Healthcare Administration, Employment and Citizen service programs worldwide in the United States, Australia, Italy, Saudi Arabia, Singapore, South Korea, Sweden and the United Kingdom.
Our mission is to affect fundamental change in the lives of every individual with whom we engage and at every touchpoint. But ultimately, what we do is improve people’s lives. And that is a testament to the ingenuity, commitment, and compassion everyone brings to their role at Maximus and their dedication to connecting citizens with the services they need from Government agencies.
Maximus Canada welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

KNOWLEDGE SKILLS AND ABILITIES

• Design, develop, implement.
• Initiate and act on ideas, and generate solutions that benefit your team, department, and company;
• Provide mentorship to our analysts on the team, set an example for the other team members about what awesome looks like, and demonstrate data democratization and governance with excellence across the organization;
• Design and implement reporting architectures, frameworks and data models defining advance best practices within the Analytics teams
• Build strong partnerships with your peers, Data organization and our stakeholder.
• Assist management.
• Provide management with clear estimates of data and time requirements for new projects.
• Be prepared to brief senior managers on data collection, dashboard reporting, limitations, and capacity holistically as well as from a project perspective.
• Communicate verbally and in writing clearly and concisely, with an appropriate tone and message.
• Escalate resource, workforce or process concerns to managers, HR, and colleagues in a timely manner.
• Understand and comply with policies/procedures set by Maximus, legislation and our clients.
• Adhere to all regulations, policies and procedures, with minimal intervention.
• Escalate work that is beyond the level you are assigned.
• Obtain required approvals from designated personnel.
• Document notes and actions, in our systems, that are clear, objective and useful to others.
• Report non-compliance of policies and procedures, regardless of the cause.

Education and Experience

• Bachelor’s degree in data science, computer science, engineering, mathematics, economics, advanced statistics or equivalent education and experience;
• Minimum of 3 years’ experience in dashboard /report development with Qlik, Tableau;
• At least 2 years’ experience creating integrated data models within BI Tools, Qlik preferred;
• At least 2 years of specific experience in forecasting models;
• Strong SQL concepts & knowledge (PL/SQL);
• Coding experience with R, Python and next generation BI and AI, an asset;
• Experience with applied statistics and quantitative modeling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed);
• Experience with Cisco Contact Centre Platform database and reporting structure; and
• Advanced Excel, including charting; MS Access (VBA skills an asset).

The BI Data Engineer will be responsible for working with the business on their requests and building BI solutions using a mix of Qlik, CUIC, R, Excel and Data warehouse. They will join the BI and Reporting team while supporting our core reporting applications to expand our current capabilities and keep consistency for our stakeholders. They will be expanding and optimizing our data and data pipeline architecture, as well as assisting the team with designing, building, and implementing data models and reporting in a variety of programs and systems. Data models will be inclusive of scripting, forecasting, dashboards design, variables, expressions, thresholds, and alerting - to meet internal and external client needs. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The successful candidate will be excited by the prospect of optimizing or even re-designing data architecture to support next generation reporting and data initiatives.
This role requires the successful candidate to have a solid grasp on successfully working through the ebb and flow of project work as well as possessing the technical competencies to ensure reporting targets as well as departmental key performance indicators (KPI’s) are met. New and emerging workflows, along with detailed client deliverables require the Data Engineer to manage several streams with agility and confidence. An effective Data Engineer is consistent, interactive, communicative and strives to improve the departments’ reporting abilities through collaborative action with their team and management.