Data Analyst

6 months ago

Ottawa, Canada CAA North & East Ontario Full time

**CAA North & East Ontario's success depends on great people. If you are ready for the challenge, find your job here.**:
CAA North & East Ontario offers a wide range of career opportunities in our Head Office / Administration Center (Finance, IT, Marketing etc); our award winning Call Centers; Emergency Roadside Assistance and our full service CAA Stores. We are an equal opportunity employer with some excellent benefits.

**Why work with us?**:

- We help people develop their professional interests and support career development within the Club
- We pay 100% of the individual full time employee premium for health/dental/insurance plan coverage*
- (* for employees working a minimum of 30 hours a week for a minimum of one calendar year)_
- Generous paid time off policies
- Defined Contribution Pension Plan
- Our members are the best, and all our full time staff are members
- (* for employees working a minimum of 30 hours a week for a minimum of one calendar year)_
- We do good things for people. As a not for profit, we advocate for passenger rights and safety on the roads. We sponsor car seat clinics; offer free battery tests and a host of other member services.
- We offer Educational Travel Tours (familiarization trips) to our travel employees.
- Generous discounts on merchandise sold in stores and applicable discounts on travel.
- You will not be bored We are a medium sized employer (less than 200 employees) who do a lot of interesting things.
That means our employees are empowered to ask questions & provide input and we can act on it quickly.

**Job Title: Data Analyst**

**Term: Full-Time, Permanent**

**Location: HYBRID: Work-From-Home / 1031 Bank St, Ottawa, ON**

**Job Summary**:
The Data Analyst plays a pivotal role in facilitating data-driven decision-making across the organization by collecting, analyzing, and interpreting complex datasets. They possess a keen analytical mindset, a knack for problem-solving, and a passion for transforming data into actionable insights.

Responsibilities include gathering and processing data from various sources while ensuring its accuracy and integrity. Leveraging expertise in SQL and data visualization tools like PowerBI, the Data Analyst conducts in-depth analyses to uncover trends, patterns, and outliers. From scheduled reports to ad hoc presentations, findings are communicated effectively to stakeholders, with approaches tailored to meet their specific needs.

With knowledge of Enterprise Data Warehouse principles and data governance concepts, the Data Analyst ensures the company's data infrastructure is scalable, efficient, and compliant. Quality assurance is paramount, with regular audits conducted to maintain data integrity and reliability.

**Responsibilities**:
Data Collection and Processing:

- Gather and compile data from various sources, ensuring data accuracy and integrity.
- Clean, preprocess, and transform raw data into a format suitable for analysis.
- Work on refined (L) or semirefined data (Y) to extract meaningful insights.

Data Analysis:

- Conduct exploratory data analysis to identify trends, patterns, and outliers.
- Perform statistical analyses to derive meaningful insights and draw actionable conclusions.
- Develop and implement data models and algorithms to address specific business questions.

Reporting and Visualization:

- Create clear and concise scheduled reports and dashboards using tools like PowerBI to communicate findings to stakeholders.
- Generate ad hoc reports in response to specific inquiries or emerging business needs.
- Utilize data visualization tools to present complex information in a visually appealing and understandable manner.

Business Requirements:

- Collaborate with stakeholders to understand business requirements and translate them into data analysis tasks.
- Assist in the creation of Business Requirement Documents (BRDs) by providing insights and data-driven recommendations.

Presentation Creation:

- Develop presentations to summarize key findings, insights, and recommendations derived from data analysis.
- Communicate complex technical concepts in a clear and compelling manner to both technical and nontechnical audiences.
- Collaborate with stakeholders to tailor presentations to specific audience needs and preferences.

Collaboration:

- Work closely with cross-functional teams to understand their data needs and provide analytical support.
- Collaborate with data engineers and other stakeholders to ensure seamless data flow and integration.

Quality Assurance:

- Conduct regular audits of datasets to ensure accuracy, completeness, and consistency.
- Identify and resolve data quality issues to maintain a high standard of data integrity.

**Requirements**:The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Education and Experience
- Bachelor's degree

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