Senior Data Analyst (Departmental Data Analyst)

ABOUT US

Almost 1.2 million residents call York Region home making it one of the largest regions in Canada and the fastest growing with a population thats expected to grow to more than 2 million by 2041. Our geography which is comprised of about 1800 square kilometers over nine different municipalities is as beautiful interesting and diverse as our government is organized in a two-tier structure and we work together with our local municipalities to provide residents and businesses access to a broad selection of services and resources.

WHAT WE OFFER

Consistently named one of Canadas Best Employers by Forbes we offer a collaborative progressive workplace that takes pride in our organizational culture and is committed to living The 13 Factors of Psychological Health and Safety in the Workplace aligned with our vision to create strong caring and safe communities both within and outside our walls.

• Defined Benefit Pension Program- With the Ontario Municipality Employees Retirement System (OMERS) defined benefit pension plan you can confidently retire knowing that you will have income for life. Eligibility from date of hire as a full-time employee and includes employer-matched contributions.

• Employer of Choice- Recognized as the highest-ranking government employer in Canada and fourth overall among 300 organizations.

• Benefits and Wellness- Employees and their loved ones have access to an employee health care spending account access to a 24/7 Employee and Family Assistance Programand corporate discounts and purchase plans for day-to-day products and services. Casual employees are eligible to receive payment in lieu of benefits and/or vacation.

• Inclusive and Diverse Workforce- Were committed to fostering an environment that celebrates all dimensions of diversity and ensures everyone can develop to their full potential participate freely in society and live with respect dignity and freedom from discrimination. Our robust Inclusion Diversity Equity and Accessibility program continues to grow and has been recognized by the United Nations and many other organizations for our leadership.

WHAT YOULL BE DOING

• Collaborates/works with stakeholders and follows the corporate strategic leadership planning and direction related to this function.
• Acts as a lead and subject matter expert toidentify collect and analyze data sources to develop and advance initiatives and programs.
• Contributes as a subject matter expert on joint data analytics projects andparticipatesin collaborative efforts where applicable.
• Responsible for full solutiondevelopmentlifecyleincludingidentifyinganddocumenting userrequirementsprovidingdatainsights to support user needs development projectworkplans and developing testing and implementing solutions
• Conducts data research andneedsanalysisand provides support in developing and implementingsolutions and/orwork plans for projectsin collaboration with Department staff localmunicipalitiesand other stakeholders.
• Provides research support and compilesdataformanagement on emerging trends best practices current events and municipal and provincial programs and policies that may haveregionalimplications.
• Applies statistical methods and analytic models to data to identify insights of business value.
• Applies a user-centered development approach to build reports dashboards andspatialanalysisproductsemployingbest practices.
• Responds to routine and non-routine inquiries or requests for information and dataproducts from outside agencies and partners municipalitiesvendorsand/ormembers of the publicescalating issueswereappropriate.

WHAT WERE LOOKING FOR

• Successful completion of a University Degree in Mathematics Applied Statistics Physics Computer Science or related applied program or approved equivalent combination of education and experience.
• Minimum five (5) years experience in data analysis statistical and predictive modelling applying a wide range of analytical techniques including analyzing and modeling large data sets exploratory data analysis or data mining processes.
• Experience incompiling andmanaging largedatasets the use of statistical packages anddemonstratedunderstanding ofadvanceddata managementtechniquessuchas datapreparationanalysis datacleaningextractionandinterpretation.
• Good interpersonal skills and ability to connect with a range of internal and externalstakeholderswhilefocusing onfostering collaborative workrelationships.