Title : Data Analyst
Location : Halifax, NS (Permanent remote)
Type : Contract
Note about this requirement from the Client :
- Ability to self-direct via curiosity - programming, analysis, diagnostics,etc (Change agent)
- SQL Experience (Multiple years - TSQL, SparkSQL, MYSQL, and / or PLSQL) (plus if they also have python experience)
- Power BI Experience - DAX programming is a must, Data Modeling is a must (Star Schema), visualization exp - PA, BPA tabluar...
- Administration / Security Knowledge experience - Service Account, AZ group management, PBI Gateways, PBI Workspace setup
- Optimization experience - Querying within SQL / NoSQL settings (Server & serverless)
Day to Day job Duties : (what this person will do on a daily / weekly basis)
- Commissioning and decommissioning of data sets.
- Processing confidential data and information according to guidelines.
- Helping develop reports and analysis.
- Managing and designing the reporting environment, including data sources, security, and metadata.
- Supporting the data warehouse in identifying and revising reporting requirements.
- Supporting initiatives for data integrity and normalization.
- Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
- Generating reports from single or multiple systems.
- Troubleshooting the reporting database environment and reports.
- Evaluating changes and updates to source production systems.
- Training end users on new reports and dashboards.
- Providing technical expertise on data storage structures, data mining, and data cleansing.
Basic Qualifications : (what are the minimum skills required to this job, have to be measurable, objective and not comparative)
- 3+ years of technical experience in data analysis
- 7+ year of comprehensive knowledge of Microsoft Office Applications including Word, Excel, Access and PowerPoint
- 3+ years of experience in assessing complex data sets and performing root cause analysis; need to be an expert
- Must be passionate about contributing to an organization focused on continuously improving consumer experiences
Nice to Have; (But not a must)
- Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field or more years of experience in SQL, SAS or other data systems
- In-depth experience in Microsoft Excel including formulas, pivots, charts, graphs, etc.
- Experience with data mining and predictive modeling techniques
- Ability to use data to drive business outcomes and decisions
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