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Data Analyst, Internal Assurance (16-month term)

ATB Financial
Calgary, CAN
Temporary
Mid
Hybrid
2 weeks ago
SQLPythonSASRTableauPower BI
Free

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About The Role

  • This is a temporary 16 month term opportunity.
  • This position has a hybrid work arrangement. On average, this means 1 day on site per week.
  • As ATB’s next Data Analyst, Internal Assurance, you will be responsible for gathering and interpreting organizational performance data which supports ATB’s internal audits.
  • You will provide data driven insights into the effectiveness and maturity of ATB’s governance, risk and control environment; synthesizing data from a variety of sources, following rigorous review and quality assessment processes, and performing analysis based on specifications provided by auditors.

Accountabilities

  • Acquire intimate knowledge of a broad range of data sources, understanding where data resides and how it can support various requests.
  • Collect data from a wide range of systems/functions, while mindfully assessing data quality from each source.
  • Understand internal audit requirements and processes, recommending data sets or analysis approaches which align with the risks under consideration and drive value through insight.
  • Synthesize data into reports, data visualizations, and dashboards tailored to the audience/use.
  • Connect how ATB’s operations and processes drive certain data attributes, explaining the impact of real world actions and decisions as reflected in the numbers.
  • Identify and interprets trends and patterns in datasets to locate influences.
  • Focus on advanced analytics that deal with big data, data processing, and multiple data sources.

Skills, Experience & Requirements

  • Bachelor's degree in Computer Science, Data Science, Information Management, MIS, Mathematics, Statistics, or 5 years experience in an assurance role working with financial institutions (external auditor, internal auditor).
  • Proficiency with SQL, relational databases, structured and unstructured data and of programming languages Python, SAS, and / or R.
  • Knowledge of analytical approaches (e.g. visual analytics, statistical analysis, predictive modeling, etc.).
  • Expertise in data reporting, visualization and dashboarding tools cleaning and preparation of data to be later analyzed with BI tools (e.g. Tableau, SAP GRC, ETL/ELT through Informatica or other solutions); Data flow planning; Visualization concepts (data storytelling); Dashboarding tools (e.g. Po
  • Other data and analytics related skills including: Data governance, Data cleansing, curation, harmonization and packaging, Data privacy and regulation, Prescriptive and predictive analytics, Metadata management.
  • Business analysis including data gathering, analytical thinking, and insights analysis.
  • Inquisitive mindset and keen curiosity.
  • Critical thinking and problem solving.
  • Written and verbal communication.
  • Storytelling.
  • Sense of ownership and accountability for work.

Preference Will Be Given To Candidates Who Have

  • Functional knowledge of banking processes and related risks and controls.
  • Knowledge of economics, finance, management and statistics.
  • Advanced data analytics and data mining skills commonly used in the financial industry.
  • Experience working with cloud computing and ‘big data’ platforms including GCP and Big Query.

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