Business Analyst, Johannesburg, Permanent
Qualification Requirement
- Bachelor's degree in a relevant field such as Business analytics or Finance is essential.
- Strong IT/BI skills, certifications, or experience is essential.
- Relevant data analytics certification will be advantageous.
Experience / Background Preference
- Min 5 years experience as a Business Analyst - data
- Strong accounting knowledge is essential.
- Previous exposure to coding languages or development of integrations and other development is essential.
- Previous exposure to database warehouse management specifically SQL Server Management Studio (“SMSS”) is essential.
- Proven experience in data analytics, cybersecurity evaluation, and process automation within a professional setting is essential.
- An excellent command of English, both written and verbal, is a requirement of the job.
Advanced Data Modeling & Warehousing
– Designing and optimizing star/snowflake schemas, ETL pipelines, and data lakes Reddit+15The CFO Club+15CCS Learning Academy+15The Times of India.
SQL & DAX/Python Proficiency
– Mastery of SQL queries remains essential. For Power BI, strong DAX is a must. Python is increasingly used for BI automation.
Modern BI Tools
– Expertise in Power BI, Tableau, Looker, Oracle Analytics, and Cognos Microsoft LearnSolutions Review+6The CFO Club+6Teal+6.
Generative AI & Semantic Search
– Emerging trend: tools like AutoBIR use AI to automate BI requirements gathering and reporting arXiv.
Data Governance
– Managing metadata, enforcing quality, compliance, and privacy protocols is becoming increasingly crucial arXiv+1Dumpsgate+1.
Data Storytelling & Soft Skills
– Ability to clearly communicate insights to stakeholders. Critical thinking, curiosity, empathy, and ethical awareness are key soft skills arXiv+15Reddit+15Teal+15arXiv+1learn.hfma.org+1.
Certification
Focus Area
Highlights
Certified Business Intelligence Professional (CBIP)
Data warehousing, analytics, governance
Vendor-neutral, requires 2+ yrs experience; validates broad knowledge in BI Coursera+10Teal+10Teal+10
Microsoft Certified: Data Analyst Associate (PL‑300)
Power BI modeling, visualization, DAX
Updated April 21, 2025; renews every 12 months
IBM BI Analyst Professional Certificate
Cognos Analytics, SQL, dashboards
Available via Coursera, ~4‑month paced training
Google BI Professional Certificate
SQL, Sheets, Looker
Comprehensive hands‑on certificate via Coursera
Tableau Business Intelligence Analyst Certificate
Interactive dashboards, data visualization
Industry‑recognized via Coursera or official Tableau training
Oracle Analytics Cloud Certification
Oracle-specific BI tech
Useful for Oracle enterprise environments
Other notable mentions:
Certified Specialist in Business Intelligence (CSBI): Focused on data transformation and modeling The CFO Club+5learn.hfma.org+5Teal+5.
Business Intelligence Foundation Certification (BIFPC): A solid foundational cert on BI principles Reddit+15free.certiprof.com+15University of San Diego Online Degrees+15.
Beginner?
Start with vendor-led foundational certs such as Google BI, Microsoft Data Analyst (PL‑300), or Tableau BI.
Experienced BI Analyst/Manager?
Aim for the broad, vendor-neutral CBIP or industry-specific ones like Oracle Analytics or IBM BI.
Tool-Specific Roles?
Power BI-heavy roles: go for Microsoft's PL‑300, then expand with PL‑900 or DP‑500 for advanced Azure integration The Times of India+4Reddit+4Solutions Review+4TDWI+1Teal+1.
Tableau-centric roles: pursue Tableau Desktop Certified Associate/Professional.
Strategic Leadership / Governance?
Certifications like CBIP and those focused on data governance are highly regarded.
Here are the most up-to-date and in-demand data analytics certifications for 2025, categorized by career level and focus:
Google Data Analytics Professional Certificate (Coursera)
Covers data cleaning, visualization, SQL, R, and real-world projects. Ideal for building a portfolio. Education Tune+15Techloy+15Insight Global+15
IBM Data Analyst Professional Certificate (Coursera)
Focuses on Python, SQL, Excel, and tools like Cognos. Includes hands-on projects. Reddit+3Techloy+3Businessday NG+3
Microsoft Certified: Power BI Data Analyst Associate (PL-300)
Tests skills in data prep, modeling, DAX, and dashboard creation—key for BI roles. The Knowledge Academy+10Techloy+10Reddit+10
CompTIA Data+
Vendor-neutral credential covering analytics, data mining, visualization, and governance—great for broad foundation. Industry Wired+15Medium+15Galaxy+15
Tableau Certified Data Analyst / Certified Associate
Validates your ability to build and share interactive dashboards—boosts data storytelling credentials. Reddit+15Industry Wired+15Medium+15
Microsoft Fabric Analytics Engineer (replacing DP‑203)
Covers Synapse Lakehouse, OneLake, KQL, and Fabric notebooks—ideal for modern Microsoft stack. The Times of India+6Insight Global+6Galaxy+6Galaxy+1Reddit+1
AWS Certified Data Analytics – Specialty
Demonstrates expertise in end-to-end analytics across AWS; high value for cloud roles. Reddit+14Coursera+14Zapnix+14Reddit+12Zapnix+12Education Tune+12
Google Professional Data Engineer
A refreshed 2025 version focusing on BigQuery autoscaling, Dataplex, Vertex AI pipelines—suits GCP-heavy roles. Teal+6Galaxy+6Industry Wired+6
Azure Data Scientist Associate
Emphasizes building and deploying ML models on Azure. Medium+15Industry Wired+15Reddit+15
Certified Analytics Professional (CAP / CAP‑X)
A vendor-neutral certification spanning the full analytics lifecycle—from framing to deployment. Teal+4Techloy+4Insight Global+4Education Tune
Cloudera Certified Associate (CCA) Data Analyst
Performance-based exam in Cloudera/Hadoop environment using Hive and Impala—enterprise-grade. Industry Wired+3Techloy+3Business Analysis Blog+3
SAS Advanced Analytics Professional
Covers predictive modeling, machine learning, and text/time-series analytics using SAS—widely recognized. Teal+4Education Tune+4Business Analysis Blog+4
Level
Certification
Focus Area
Beginner
Google Data Analytics Professional
Portfolio-building, entry-level
Beginner
IBM Data Analyst Professional
Hands-on tools and projects
Core Tech
Power BI Data Analyst (PL-300)
BI modeling + dashboard design
Core Tech
CompTIA Data+
Data fundamentals + governance
Core Tech
Tableau Certified Data Analyst
Visualization & storytelling
Cloud
Microsoft Fabric Analytics Engineer
Fabric stack analytics
Cloud
AWS Data Analytics – Specialty
AWS ecosystem analytics
Cloud
Google Professional Data Engineer
GCP pipeline + AI integrations
Cloud
Azure Data Scientist Associate
ML model deployment on Azure
Advanced
CAP / CAP‑X
Analytics lifecycle (vendor-neutral)
Advanced
CCA Data Analyst
Big data querying (Hadoop/Hive)
Advanced
SAS Advanced Analytics Professional
Enterprise-level predictive analytics
Just starting? Choose Google or IBM. These build foundational skills and job-readiness.
BI or dashboard-centric roles? Go for Power BI or Tableau.
Cloud/data pipelines? Pick AWS, GCP, or Microsoft Fabric based on your stack.
Aiming for leadership or cross-tool mastery? Consider CAP or SAS Advanced.
Working with big data? Cloudera CCA is valuable for Hadoop platforms.
Here are 100 clear, practical lines of must-know information about SQL Server Management Studio (“SSMS”) for 2025, structured for practical study, CV enrichment, or teaching:
SSMS is a free integrated environment for managing SQL Server infrastructure.
It is used to configure, manage, and administer all components within Microsoft SQL Server.
SSMS supports SQL Server, Azure SQL Database, and Azure Synapse Analytics.
You can write, edit, and execute Transact-SQL (T-SQL) queries in SSMS.
SSMS allows database backup and restoration.
It provides tools for database creation and table design.
SSMS offers visual query plan analysis for query performance tuning.
You can manage security through user and role management in SSMS.
SSMS supports Object Explorer for visual navigation of databases and objects.
It allows configuring SQL Server Agent for scheduled jobs.
SSMS supports Import and Export Wizard for moving data.
You can generate scripts for database objects for migration or documentation.
SSMS allows connection to multiple SQL Server instances simultaneously.
Supports IntelliSense for auto-completion of T-SQL code.
Activity Monitor in SSMS helps monitor server health and live performance.
SSMS offers integration with Azure Data Studio for advanced analytics workloads.
It allows configuring linked servers for cross-server queries.
You can configure replication (snapshot, transactional, merge) via SSMS.
SSMS provides Database Diagrams for visual schema layout.
You can analyze index usage and fragmentation in SSMS.
SSMS supports data auditing configuration.
It allows creating and managing stored procedures visually or via T-SQL.
SSMS can be used to manage service broker queues and conversations.
SSMS allows you to encrypt and decrypt data using TDE or column-level encryption.
Provides advanced filtering and sorting for data in tables.
SSMS supports managing and reviewing SQL Server logs and event logs.
You can use SQL Profiler from SSMS to trace server activity for troubleshooting.
SSMS allows setting up database mail for alerts and notifications.
It provides wizards for configuring maintenance plans.
SSMS supports Data-tier Application (DAC) deployment and extraction.
You can manage SQL Server credentials and linked logins securely.
SSMS supports Always On Availability Groups for high availability configuration.
You can create and manage triggers through the GUI or scripts.
SSMS allows viewing and editing table data directly.
Provides performance tuning advisors with recommendations.
Allows configuring full-text search on columns and tables.
SSMS can manage extended events for lightweight monitoring.
Provides access to SQL Server Integration Services (SSIS) packages for ETL processes.
SSMS allows advanced permission management using GRANT, DENY, REVOKE.
Allows comparing schemas and data between databases using SQL Server Data Tools.
Supports management of partitioned tables for performance and scalability.
SSMS can export query results to CSV, Excel, or JSON.
SSMS allows restoring specific pages from backups in enterprise editions.
Provides query execution statistics for optimization.
SSMS includes Template Explorer for reusable SQL snippets.
SSMS allows managing SQL Server instances on Linux.
You can configure auditing using SQL Server Audit from SSMS.
SSMS provides Graphical Execution Plans for query performance insight.
You can manage server roles and database roles in SSMS.
Supports scripting out entire databases for backup or migration.
SSMS can connect to Azure SQL Managed Instances for hybrid management.
Allows dynamic management view (DMV) queries for system insights.
SSMS enables CLR integration management for using .NET code within SQL Server.
You can manage encryption keys and certificates in SSMS.
Allows configuration of connection encryption and force encryption settings.
Provides wizards for database migration from on-premises to Azure.
SSMS supports creating and managing views for simplified querying.
You can manage temporal tables for data versioning.
Supports PolyBase configuration for querying Hadoop and blob storage.
Allows the use of Resource Governor to manage workloads and system resources.
SSMS integrates with Git for version control of scripts.
Provides XML and JSON support for semi-structured data queries.
Allows monitoring long-running queries for performance troubleshooting.
SSMS can generate performance reports for CPU, IO, and memory usage.
Supports use of transaction control (BEGIN, COMMIT, ROLLBACK) within T-SQL.
You can manage compression on tables and indexes for storage efficiency.
SSMS enables table partition switching for data management.
Allows management of SQL Server jobs, alerts, and operators.
You can enable and monitor Change Data Capture (CDC) and Change Tracking.
SSMS provides options for database snapshot creation.
Allows setting up SQL Server configurations (max memory, max degree of parallelism).
Supports cross-database queries within the same instance.
Provides execution history tracking for scheduled jobs.
Allows scripting data and schema separately for flexibility.
SSMS supports batch execution of multiple scripts.
Allows use of temporary tables and table variables in scripts.
SSMS can be customized with different themes for comfort.
Allows managing log shipping configurations for disaster recovery.
Supports publishing databases to Azure SQL Database.
Provides insights into blocked processes and deadlocks.
Allows configuration of database mirroring (deprecated in latest SQL Server but still visible for legacy).
Supports use of filegroups for managing large databases.
Provides the ability to check integrity using DBCC CHECKDB.
Allows users to manage triggers, constraints, and defaults on tables.
Provides system stored procedures for various management tasks.
Supports encryption of connections to SQL Server using SSL/TLS.
Provides functionality to rebuild indexes online for enterprise versions.
Allows monitoring of wait statistics for identifying bottlenecks.
Supports advanced query tuning with hints and options.
Allows setting database compatibility levels for legacy applications.
SSMS enables job history analysis for failures and success rates.
Supports integration with Azure AD authentication for cloud security.
SSMS allows for service account management for SQL Server services.
Provides scripting options for dropping and recreating objects safely.
Allows exporting execution plans for sharing with other engineers.
SSMS provides support for dynamic SQL execution.
You can schedule and automate backups using maintenance plans.
Allows management of SQL Server startup parameters.
SSMS is essential for troubleshooting connectivity and performance issues.
It is a critical tool for DBAs, Data Engineers, and BI Analysts to manage, secure, and optimize SQL Server environments in modern data landscapes.