Job Detail

Benefits

JOB DESCRIPTION:

We are looking for a Technical Lead – Analytics to join our growing team of data analytics
experts and manage the processes and people responsible for accurate data collection,
processing, modeling, and analysis. The ideal candidate has a knack for seeing solutions in
sprawling data sets and the business mindset to convert insights into strategic opportunities
for our company. They will work closely with leaders across product, sales, and marketing to
support and implement high-quality, data-driven decisions. They will ensure data accuracy
and consistent reporting by designing and creating optimal processes and procedures for
analytics employees to follow. They will use advanced data modeling, predictive modeling,
and analytical techniques to interpret key findings from company data and leverage these
insights into initiatives that will support business outcomes. The right person for the job will
apply their exhaustive knowledge of data analysis to solving real-world problems faced by
our company and finding opportunities for improvement across multiple projects, teams, and
business units.
 7+ years of relevant experience in leading the Development of Data products, Data
Engineering, cloud data platforms, data lakes, or data warehousing.
 5+ years of experience in Data Visualization.
 3+ years of experience in Data Virtualization.
 Good experience in software development life cycle, and agile methodologies such as
Scrum and/or Kanban.
 Knowledge of Jira and confluence.
 Strong detail orientation, communication, and interpersonal skills are essential in this
role.
 Ability to effectively liaise with all levels across the organization.
 A team player and self-starter.
 Experience working directly with data engineering teams, managing engineering
roadmaps, and communicating technical information to senior executives.
 Highly analytical and collaborative qualities with strong technical, strategic, and problem-
solving skills
 Ability to thrive in a dynamic and fast-paced operational environment where change is
the norm
 Believes in a non-hierarchical culture of collaboration, transparency, and trust across the
team
 Excellent written and oral communication skills as well as comfort using those skills to
drive change and alignment
 Ability to break down complex product requirements into actionable user stories
 Ownership mentality with strong initiative to achieve results. Self-motivated and ability to
motivate others
 Excellent project management, prioritization, and decision-making skills
Roles and Responsibilities:
 Lead cross-functional projects using advanced data modeling and analysis techniques to
discover insights that will guide strategic decisions and uncover optimization
opportunities.
 Build, develop, and maintain data models, reporting systems, data automation systems,
dashboards, and performance metrics support that support key business decisions.

 Design and build technical processes to address business issues.
 Oversee the design and delivery of reports and insights that analyze business functions
and key operations and performance metrics.
 Recruit, train, develop, and supervise analyst-level employees.
 Ensure the accuracy of data and deliverables of reporting employees with
comprehensive policies and processes.
 Manage and optimize processes for data intake, validation, mining, and engineering as
well as modeling, visualization, and communication deliverables.
 Examine, interpret, and report results of analytical initiatives to stakeholders in
leadership, technology, sales, marketing, and product teams.
 Oversee the data/report requests process: tracking requests submitted, prioritization,
approval, etc.
 Develop and implement quality controls and departmental standards to ensure quality
standards, organizational expectations, and regulatory requirements.
 Anticipate future demands of initiatives related to people, technology, budget, and
business within your department and design/implement solutions to meet these needs.
 Organize and drive successful completion of data insight initiatives through effective
management of analyst and data employees and effective collaboration with
stakeholders.
 Communicate results and business impacts of insight initiatives to stakeholders within
and outside of the company.