Senior Data Analyst
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Job Location:
Johannesburg - South Africa
Monthly Salary:
Not Disclosed
Posted on:
1 hour ago
Vacancies:
1 Vacancy
Job Summary
Job Purpose
To execute and oversee multiple complex projects as a Data Analyst. Ensure that relevant high-quality data is available in a timely manner for various analytical processes. The data analyst is responsible for understanding the business requirements for data the related data flow business processes and systems that generate the data required as well as the properties profile and behaviour of the data. The primary goal is to enable the provisioning of the data into forms that make it usable for further analytical processing that enables decision-making processes and provides insights to business.
Job Responsibilities
Perform data analysis activities across various squads/value chains.
Liaise with business stakeholders to elicit and understand data requirements and translate them into technical analytical tasks aligning efforts with business needs.
Responsible for unpacking and understanding data from analysing data flows to data profiling in order to troubleshoot data issues or create detailed documentation incorporating findings to provide specifications for downstream processes such as data ingestion provisioning or other analytical processes
Perform data testing and validation activities such as Error Resolution Data Quality Validation Data Ingestion Configuration and Data Life-cycle end to end validation
Make data-driven recommendations for data provisioning enhancements (data cleansing transformation and validation) based on discovery insights.
Using data profiling techniques contribute to the definition of data standards and identify potential data quality issues report on and propose possible solutions. Where applicable drive or participate in cleansing initiatives.
Drive understanding of the purpose behavior and user interactions with the data to optimize self-service offerings and improve Nedbank users experience in accessing data provide support to users in understanding and accessing data
Ensure data analysis deliverables are delivered according to project plan and budget to meet commitment to stakeholders.
Collaborate with various teams including Data Modelers Data EngineersData Architects Data Governance to align data discovery insights and implement complex data solutions.
Ensure that data analysis activities adhere to regulatory requirements maintaining compliance with all relevant data policies privacy standards and ownership guidelines
Utilize data discovery and profiling tools to enhance the data profiling process.
Execute advanced SQL queries and other technical analyses to support data investigation and reporting.
Develop and execute comprehensive data quality checks to identify anomalies or inconsistencies in data and identify patterns relationships and trends that impact data management and utilization.
Maintain up to date knowledge of latest developments in the Data Analysis domain including reading; continuous professional development courses; seminars and conferences
Support the achievement of the business strategy objectives and values
Contribute to the Nedbank Culture building initiatives (e.g. staff surveys etc.).
Participate and support corporate responsibility initiatives for the achievement of business strategy
identify and drive opportunities to improve business processes models and systems though agile thinking.
Provide Overall Data Management Guidance and alignment to Nedbanks Data Management framework and standards
Perform review on work performed by team members as well as review and govern work performed by other data teams
When required lead a team of Junior data analyst and manage day-to-day activities allocation growth and development
Mentor guide and provide training to junior and entry-level Data Analysts to enhance their analytical and technical skills.
Preferred Certifications
Data Analysis and Data Modelling Cloud (Azure AWS) DEVOPS or Data engineering certification DAMA Any Data Science certification SAS certification SQL any Microsoft Power tools will be an added advantage.
Minimum Experience Level
3-6 Years
Proficiency in SQL and experience with database management and data profiling tools. Skills in cleaning and preparing data for analysis to ensure accuracy and consistency Experience with data warehousing solutions to store and manage large volumes of data Firm understanding of ETL processes and data integration concepts. Firm understanding of data management and governance practices. Experience with data visualization and reporting tools (e.g. Tableau Power BI) is a plus. Basic knowledge of data modeling and data warehouse architectures (e.g. star schema snowflake schema). Strong analytical and problem-solving skills with attention to detail. Excellent communication skills and ability to work collaboratively in a team environment. Experience with leading teams of Data Analysts
Technical / Professional Knowledge
- Data Warehousing
- Data profiling - intermediate
- Data Visualisation
- Data Governance and Compliance
- Data Pipelines and ETL tools (Ab Initio ADB ADF SAS ETL)
- Databases (PostgreSQL MS SQL IBM DB2 HBase MongoDB)
- Programming (e.g. Python R)
- Cloud Data Engineering (Azure AWS Google)
- Data Analysis and Data Modelling
Behavioural Competencies
- Coaching
- Technical/Professional Knowledge and Skills
- Innovation
- Decision Making
- Collaborating
- Planning and Organizing
- Continuous Learning
- Business Acumen
Please contact the Nedbank Recruiting Team at
Required Experience:
Senior IC
Key Skills
- Databases
- Data Analytics
- Microsoft Access
- SQL
- Power BI
- R
- Tableau
- Data Management
- Data Mining
- SAS
- Data Analysis Skills
- Analytics
About Company
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