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Data Analyst Job Description: Top Duties and Requirements
A Data Analyst is responsible for reviewing statistics to help companies make better business decisions. A Data Analyst will collect statistical analyses of data, design data administrative policy, and implement programs to help improve the bottom line of an organization.
FPT is seeking an Business Data Analyst (Analytics Translator), who can help the business to implement the AI solutions in effective way, by determining the requirements of the project and communicate them clearly to stakeholders. The candidate will support PO and Business translator, in managing the backlog, organizing stories manage release plans based on business priorities.
� Maintain the product backlog: Use functional decomposition to create a well-organized, value-driven framework. Document problem statement.
� Business Value mapping: should be the link between the development team and the business users and stakeholders, supporting development activities. Produce analysis reports (i.e.. AI model options analysis), detailed understanding documentation of data elements
� Responsible for writing user stories: Translate the business requirements into a user stories that the development team can implement, translate the questions of development team into business questions that the business can address.
� Acceptance criteria documentation: work with the business stakeholders to validate the requirements, will be the liaison between project stakeholders and your testing organization during UAT. Set up the testing strategy
� Act as communication broker:have very good connections within the business community and therefore help the development teams find the right people to work with.
� Application visualization: help in defining the requirements for wireframes and personas and user experience for application side
� None Functional requirements: help in defining NFRs, i.e. accessibility, adaptability availability, compliance tolerance.. etc
� 5+ years operations experience ideally in two or more functions as Business Analyst/Data Analyst/Business Data Analyst�
� Project management experience, especially in managing multi-functional teams within the organization, extensive knowledge in Agile methodologies and best practices.
� Strong willingness to learn new skills
� Strong communicator, with experience in working with senior management
� Excellent written and verbal communication skills along with strong desire to work in cross functional teams
� Positive attitude to thrive in a fun, fast-paced start-up like environment
� An inquisitive knowledge seeker with an innovative and growth oriented mindset.
� Brings a high-energy and passionate outlook to the role and has strong sense of ownership
� Airlines/Aviation experience is a plus
� CBAP, Six Sigma, Scrum certifications is a plus
� Experience in computer science or coding (any language) is a plus
Job Type: Full-time
Dental care Schedule:
8 hour shift
Monday to Friday
What is your expected salary?
Data analytics: 5 years Location: Remote
WealthCo is looking for a Data Analystto join our amazing team based in Calgary, [website] position offers competitive benefits, opportunities for advancement and the advantages of growing and learning alongside accomplished business leaders in the Wealth Management industry. The opportunity to utilize innovative technology and receive ongoing education are a few of the benefits of this role.
An entrepreneurial and innovative spirit are highly valued at WealthCo and align to our core values. Team members are encouraged to work within their unique ability. By doing what we are passionate about daily, we become more productive, engaged, and successful.
The Analyst is responsible for data integrity across our integrated asset management firm. With a keen attention to detail and an appreciation of how important accurate reporting is for our client�s, the Analyst will provide proactive technical and reporting support to ensure the delivery an exceptional client support and service, accomplished by prioritizing accuracy, timeliness, and responsiveness. Systems such as Azure, Power BI Service, and CRM Dynamics will be supported by this role. The Analyst supports the WealthCo Team in achieving business objectives and goals reporting directly to the COO.
You will support the company�s goals and objectives by:
Building analytics and reporting to support sales activity while providing recommendations to improve the sales process.
Collaborating with leadership teams to create data strategies that support data modeling.
Leveraging investigative and problem-solving skill to rectify issues to ensure ongoing data integrity.
Increases effectiveness and efficiency within the firm by enhancing and ensuring ongoing data integrity.
Supports and develops corporate cloud infrastructure in Azure.
Manages data documentation as it pertains to our pools and their sub-holdings.
Responsible for the ongoing communication and issue resolution with our data solution providers
Responsibility for projects as they pertain to our data and reporting systems.
Build strong and influential internal relationships to help ensure business objectives are being met.
Successful candidates will require:
University degree or certificate in the following disciplines: Economics, Engineering, Mathematics, Statistics, Computer Science, Data Analytics, Data Science.
3-5 years data management experience.
Proven experience in creation of dashboards, data visualization and reporting, as well as managing data ceremonies, data cleaning and preparation.
Experience with Azure Data Services as ADF, ADL Gen2, Azure Automations.
Experience with Power platform (Power BI Desktop, Power BI Service, Power Queries in M code, Power Query dataflows)
Experience with CRM Dynamics 365
WealthCo�s mission is to change the financial services industry. By leveraging the unique relationship between an accountant and their client, we are able to help better serve them through our Integrated Advisory model. WealthCo serves our clients through Wealth Planning, Risk Management, Asset Management, Group Benefits, and Integrated Advisory across Western Canada.
WealthCo offers competitive salaries based on education and experience, incentive compensation, continuous education, opportunities for advancement and excellent benefits with include RRSP matching.
While we thank everyone for their interest, we are only able to contact applicants selected for an interview. You are encouraged to watch for future opportunities by checking [website]
Job Types: Full-time, Permanent
Employee assistance program
Extended health care
Paid time off
Tuition reimbursement Schedule:
Monday to Friday
No weekends Supplemental pay types:
Ability to commute/relocate:
Calgary, AB: reliably commute or plan to relocate before starting work (preferred)
Bachelor's Degree (preferred)
data management: 1 year (preferred)
Power platform: 1 year (preferred)
CRM Dynamics 365: 1 year (preferred)
Application deadline: start date: 2022-02-07
Canadian Science Publishing (CSP) is Canada�s largest independent, not-for-profit publisher of international scientific research journals.
How are we changing? We are growing our teams to support our transition to open access publishing over the next few years. As a mission-driven organization, we are dedicated to meeting the publishing needs of researchers.
Who are we looking for? We are looking for people who are keen to make a difference in research publishing. Our transition to open access is ambitious and, if you thrive on opportunities to learn, change, experiment, and grow, we want to work with you.
Who are you joining? We are committed to fostering an inclusive and equitable culture that welcomes everyone, values diversity, and engages in continuous reflection and improvement.
What do we offer? We offer an attractive compensation and benefits program with the opportunity to work a flexible schedule. We support fully remote working; with some in-person meetings in
Ottawa, depending on the requirements of the role. Our vaccination policy requires all employees to be fully vaccinated against COVID-19 to work in the office or travel for company-related events.
CSP welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
We pledge to help build a more equitable, diverse, and inclusive culture in science publishing: a culture where everyone is safe, and everyone can contribute to and benefit from scientific knowledge. We are committed to fostering an inclusive and equitable culture that welcomes everyone, values diversity, and engages in continuous reflection and improvement to fulfill this commitment.
Want to be part of the future of science publishing? Apply today!
General Responsibilities Reporting to the Director Strategic Initiatives, the Data Analyst is responsible for leveraging the organization�s data assets and providing in-depth data analysis to help build an evidence base to enhance strategic decision-making at CSP. The Data Analyst understands internal and relevant external data and data sources, information flows, user requirements, and provides detailed reporting via summary reports, interactive dashboards, and effective visualizations. This role supports cross-functional data analysis needs for teams across all departments.
Specific Duties Responsibilities include but are not limited to the following:
Leverage internal and relevant external data and data sources to improve CSP�s products and services to enhance CSP�s decision-making.
Perform in-depth statistical analyses of large, diverse datasets to support CSP�s entire business (editorial, production, sales, marketing, and finance)
Develop interactive dashboards and data tools using PowerBI, generate effective data visualizations, and synthesize reports to document key performance indicators, trends, and forecasts, for various business units.
Understand the user requirements of CSP staff and support diverse teams by providing data, analyses, and reports on a routine and ad hoc basis to accomplish
CSP�s strategic goals
Establish an authoritative inventory of CSP�s data assets in which data and analyses are fully documented, clearly organized, and easily accessible in data libraries
Maintain and ensure accuracy and precision of internal and externally shared CSP data
Work both independently and with cross-functional teams across CSP�s directorates to provide timely analyses that support evidence-based decision-making at CSP.
Post secondary degree in Data Science, Information Science, Statistics, Computer
Science, Business or related fields with a strong foundation in data analytics, modeling, or statistics.
Minimum one to three (1-3+) years of data analytics and/or business intelligence experience.
Demonstrated ability to perform in-depth analysis, visualizations, and forecasting to facilitate strategic decision-making.
Experience with creating effective reports and dashboards to summarize key performance indicators for various business units.
Advanced proficiency in exploring, extracting, analyzing, and presenting data with
Microsoft Excel (PivotTables, advanced formulas, writing VBA code, etc.).
Expertise in creating interactive visualizations and dashboards using Power BI.
Proficiency with database software and writing SQL.
Ability to convert business requirements into technical specifications.
A detail-oriented self-starter that can initiate and prioritize projects to accomplish tasks and adhere to timelines.
Strong communication skills, ability to communicate effectively, and work with internal and external teams.
High degree of trust handling confidential information.
Adaptable and willing to learn new techniques
Ability to adapt quickly to change and work under pressure with tight deadlines
Self-starter who is able to initiate, prioritize, and organize projects and decisions to meet deadlines consistently
Strong interpersonal skills with the ability to work independently and within a team environment, taking direction from others and providing guidance and expertise to numerous internal cross-functional groups and external stakeholders.
Job Types: Full-time, Permanent
Salary: $59,650.00-$74,650.00 per year
Monday to Friday
No Location: Remote
Location: 2206 Eglinton Ave East, Suite 190. Scarborough, ON M1L 4S8
Hours: Sunday � Thursday with rotational weekends (7:00PM � 3:30AM)
Must be accessible via email after hours and on weekends
Salary: $42,000 - $46,000/year
Start Date: ASAP
The Data Analyst is responsible for applying data tools to collect, cleanse, present structured and unstructured data for analysis and reporting. The person will assist in data project management with various levels of the organization.
[website] data and prepare various reports with excel 2. Ensure company standards and compliance; 3. Log sample information and sample inventory accurately into database; 3. Generate reports as requested by Operations team 4. Liaise regularly with internal team to ensure information is fully obtained; 5. Contact client if sample does not comply with SOP; 6. Verify that all incoming samples comply with in-house methodology and SOPs; 7. Interpersonal skills to develop and manage relationships with internal team and clients 8. Comfortable to communicate effectively with clients in case of any clarification or an enquiry in regard to understanding the samples provided
Relevant Experience and Skills
1. University degree with 1-2 years of relevant work experience (fresh graduates welcomed) 2. 1 to 3 years of facility services administration work experience 3. Advanced EXCEL skills and experience (Vlookup, Countif, Conditional formatting and etc) 4. Experience in handling over large datasets (e.g. over 10,000 row and 100 columns) 5. Ability to collect, analyze, manipulate, use data visualization techniques 6. Strong administrative and organizational skills 7. Strong attention to detail and data accuracy 8. Ability to communicate clearly and effectively with others for the purpose of data exchange, clarification and follow up 9. Proficient with MS Office suite of applications along with ability to quickly learn new software applications and information systems.
SPSS, SAS, or related statistical analysis software experience
Econometrics, Statistics, or Mathematics background
Amazing growth opportunities available
Great way to network and work with a team of experienced individuals
Casual dress code
On-site fitness center (full gym, basketball shooting courts, yoga studios)
New state of the art head office!
Job Types: Full-time, Part-time, Fixed term contract Contract length: 6 months Part-time hours: 40 per week
Salary: $42,000.00-$45,000.00 per year
Work from home Schedule:
10 hour shift
8 hour shift
Monday to Friday
COVID-19 considerations: Our office has been renovated for social distancing
What is the highest level of education you have completed?
Do you speak English?
How many years of Excel experience do you have?
How many years of SPSS, SAS, or related statistical analysis software experience do you have?
How far do you have to commute to the office?
When can you start if you are selected for this position?
What is your Visa/Legal status in Canada ?
Application deadline: start date: 2022-07-04
We are looking for a strong Data Analysts to become part of our initial core team. You will get to actively work with our customers and help them with any Descriptive Analysis. If you have the necessary proclivity we are happy to give you more ownership and let you own and drive a product area as well. As a Data Analyst, you�ll be an integral part of the Client Consulting and Analytical Team providing thought leadership and best practice approaches to support client projects in the area of advanced statistical and mathematical modeling. The person will be accessing/extracting, analyzing and interpreting customer and POS transactional data with clients to build dashboards, leveraging statistics and mathematics to support business objectives such as price elasticity, price model measurement, marketing mix modeling, price optimization, assortment optimization and ad hoc strategic and tactical client issues.
With 5-8 years of data analytics related experience
With a Masters or PhD degree in Math, Statistics, Computer Science, Engineering, Economics with a strong foundation in modeling, statistics, analytics, engineering or math
Must to have skills:
SQL - A pre-requisite for any data job2. Python � Main language to be used in the team to code in our environments.
Azure: Environment we work in. The language used in Azure is mostly Python or SQL, and we can always train how to leverage the tools within Azure, but best if we can benefit from experience
Communication skills - be able to interact with business partner and capture efficiently requirementsGreat-to-have
SQL, MySQL, Oracle, Python
Cloud platform experience: Microsoft, Amazon, Google
Data visualization using Tableau, Qlikview, or Domo
Must be able to work alongside other analytical experts as well as meet with senior level managers to determine requirements for intuitive, creative, analytical solutions.
Gather and analyze business requirements and user specifications Independently design, develop and document dashboards, reports and analytical tools
Research source data and design queries that bring data into Tableau Interact with and present to clients throughout the development process
Contribute to and help define team best practices around report development, testing, access management, and report refresh scheduling
Ability to reliably commute or plan to relocate before starting work (required)
Service Canada is looking to staff a Junior Data Analyst at EC-02 level within the Strategic Analysis and Reporting Unit of Quality Services Division. A term/casual position to start in fall 2022.
The ideal candidate would have skills and experience in manipulating and extracting data from various data sources, programming (SAS, R, SQL, Excel VBA), reporting, as well as good communication skills.
Highly motivated new grads with demonstrated talent in these areas are encouraged to apply.
Understand the day-to-day issues that our business faces, which can be better understood with data
Compile and analyze data related to business' issues
Develop clear visualizations to convey complicated data in a straightforward fashion
Identify, document and validate data requirements, technology and IT infrastructure requirements and expectations
Identify source data requirements
Assess source data quality
Define business rules for handling source data
Identify, document and validate target data requirements
Own and maintain dashboards, ongoing reports, and ad hoc requests from the branch
Bachelor's degree or technical certificate preferred in a quantitative discipline in Economics, Statistics, Computer Science or equivalent
1 - 2 years' of Data Analysis experience
Experience using statistical data software(s)
Valid government security clearance required or must be able to obtain
Job location is in National Capital Region
Work is currently remote with possibility of being in office when requested
Job Types: Full-time, Casual
Salary: $62,168.00-$71,275.00 per year
Flexible language requirement:
French not required Schedule:
Monday to Friday
Ability to commute/relocate:
Gatineau, QC: reliably commute or plan to relocate before starting work (required)
Bachelor's degree or technical certificate in a quantitative discipline?
Data analysis skills: 1 year statistical data software: 1 year (required)
Hey there! While you’re here, why don’t you post your job to Indeed!
A Data Analyst is responsible for reviewing and analyzing data management software. They create standards for data administration policy for the company and employees to follow, and are responsible for ensuring that data is easily accessible for internal and external users. A Data Analyst will typically work closely with the company Chief Executive Officer and leadership team. They may also be responsible for providing and presenting their findings to internal or external teams.
Data Analyst skills and qualifications
A successful Data Analyst candidate will have various prerequisite skills and qualifications required for the duties of this job, including:
Ability to be work independently and able to work on teams cross-functionally
Ability to organize, prioritize and follow through with important projects
Strong analytical skills with the ability to collect, organize and analyze significant amounts of information
Strong attention to detail
Exceptional written and oral communication skills
Ability to problem-solve with a track record of producing results
Exceptional time management skills
Ability to present complex information in a simplified way to various audiences
Data Analyst experience requirements
Generally, a job applicant should have prior work experience as a Data Analyst, the norm being least three years of experience. Experience working in data management may also be accepted for this role for more junior positions. It is also common for a job applicant to have experience working with specific software systems such as MS Sequel or Microsoft Access. It is generally mandatory that a successful candidate has significant experience using Microsoft Excel.
Data Analyst education and training requirements
Most applicants to Data Analyst roles will have a bachelor’s degree in mathematics or computer science. Completion of a college degree in computer science may also be acceptable for the role. Applicants may also possess certification for job-related software systems. Lastly, vocational training such as presentation skill certificates could also be something to look for in a resume.
Data Analyst salary expectations
According to Indeed Salaries, the average salary for a Data Analyst is $35.17 per hour. Pay can vary depending on experience, location, the company that is hiring, or the type of data analysis being done.
Job description samples for similar positions
If a Data Analyst isn’t quite what you are looking for, other related job descriptions include:
What should you look for in a Data Analyst resume?
A good Data Analyst resume should have the required educational degrees or certificates in computer science or math. Look for a resume that lists experience with similar software programs to those that will be required in the role.
What makes a good Data Analyst job description?
A good Data Analyst job description will specifically list software programs used regularly in the role. The description should also specify who on the leadership team the applicant will be working closely with. If the role is to be looking at a particular business process such as sales, list this as well.
How can you make your Data Analyst job description stand out?
A Data Analyst job description that stands out is one that talks about the company and why a candidate would want to work there. If the job is eligible for a performance bonus that should also be mentioned in the job description. Lastly, list out any additional benefits like a company-matching RRSP program or company pension program.
Job Description Examples
Need help writing a job description for a specific role? Use these job description examples to create your next great job posting. Or if you’re ready to hire, post your job on Indeed.
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