Overview
Data Analyst Jobs in Toronto, Ontario, Canada at Delpath
Business Analyst – Non-IT – 2
Location Address: 100 Yonge Street 8th Floor
Work arrangement ( Hybrid – In Office 3 Days per week).
Contract Duration: 3 months with Possibility of extension: Depending on performance and funding
Conversion to FTE, depending on performance and funding
Schedule Hours: 9am-5pm Monday-Friday (No overtime).
Reason: Need a contractor to help support the business planning process and developing the model for said planning. Support for other analytics projects.
Daily activities:
Lead the creation of daily, weekly, monthly and quarterly reporting of business results to senior management and other stakeholders within the Insurance team including Sales, Distribution, Finance, Actuarial
Development of KPI packages/dashboards ihncluding Executive Reporting to meet the needs of the business.
Work closely with incumbent’s Sr. manager and other business partners to provide timely and actionable insights on business performance vs. plan and/or other benchmarks.
Automate and develop MIS & Reporting of results of the Insurance Business using multiple databases and mainframe. Ensure optimal processes are established to produce timely and accurate reports on financial metrics for senior management.
Lead integration of new data feeds through new product launch, emerging technologies or other business strategies/initiatives ensuring timely availability of information for reporting and/or analytics.
Collaborate with various stakeholders in the Insurance department to plan and develop MIS to support information need for the business – e.g. financial, adjudication, channel, customer behavior reporting.
Work closely with data warehouse and IT teams to manage development of analytical infrastructure comprising of databases, data infrastructure and analytical tools to provide sound infrastructure for reporting, portfolio management, analytics, segmentation and statistical modeling. Ensure data enhancement initiatives are appropriately prioritized and implemented on time and budget.
Ensure all systems and analytical infrastructure used for reporting and analytics have accurate information and are available to business users with minimum downtime. Work closely with IT, data warehouse or other internal/external partners to resolve issues around data accuracy or systems availability.
Lead automation of reports on an ongoing basis to increase productivity, efficiency and accuracy of MIS ensuring business stakeholders are minimizing time spent on repetitive or manual tasks.
Engage in high impact technology projects to provide subject matter expertise with respect to data architecture, systems integration and application design. Ensure integration of new advanced analytical tools into the analytical infrastructure.
Continuously acquire and enhance knowledge of business/product strategies, reporting tools, technical processes and advanced analytical tools/methodologies to best provide business solutions to all key constituents.
Effectively manage and prioritize multiple business initiatives, projects and ad-hoc reporting needs with business stakeholders and/or external partners/consultants.
Candidate Requirements/Must Have Skills:
- 3-4 years’ experience in Analytics or MIS/Reporting within financial or insurance industry.
- 3-4+ years’ experience in programming, application development and/or data warehousing
- Strong working knowledge of Power BI
- Strong knowledge and proficiency with building models and data infrastructures – data mining, data profiling, modeling, cleansing, enriching as well as extract, transform, load (ETL) solutions and scripting
- Excel programming and Microsoft Access skills including queries, forms, reports and macros
Nice to Have:
- Bilingual English – Spanish desired
- Detailed experience in Python, SQL, SAS, Unix, Mainframe
- Experience with Tableau is an asset
- Previous business line and banking experience is highly desirable
- Expert with dashboards, KPI, business metrics generation
Education and Certifications:
- Degree in Computer Science, Finance, Economics or Statistics
- MBA (Finance or Marketing) – preferred
Best VS. Average Candidate: The ideal candidate has strong financial modeling experience, a solid financial background, and a strong understanding of analytics. Python is not mandatory. The skill mix is approximately 60% financial expertise and 40% Power BI/Python.
Candidate review and selection: 2 rounds
2nd – Hiring manager – 30 mins –Problem solving and scenario questions; assess interest in role and cultural fit.
1st – Panel -45-60 mins – MS Teams Video or In person – Experience check. Role overview and career work experience.
Regards
Deepthi R
Sr. Technical Recruiter
647-254-0803
Title: Data Analyst
Company: Delpath
Location: Toronto, Ontario, Canada