Research, Data Analytics, and Business Intelligence Greece

SQL for Business Analysts and Reporting Professionals Training Course

SQL for Business Analysts and Reporting Professionals is the practical language bridge between raw relational data and the reports leadership actually uses. In most organizations, the gap is not access to data but the ability to query it cleanly, join it correctly, and turn it into reliable metrics without manual spreadsheet work. SQL for Business Analysts and Reporting Professionals is a structured, hands-on training in writing, testing, and refining SQL queries for business reporting. It enables professionals to retrieve accurate data, calculate business metrics, and produce repeatable reporting outputs. This course is designed for business analysts, reporting specialists, management information analysts, operations analysts, and finance analysts who need dependable SQL skills in data-rich, time-sensitive environments. You will work with core relational concepts, joins, aggregations, CASE logic, CTEs, and window functions, while also seeing how modern data stacks, self-service dashboards, and AI-assisted query drafting are reshaping reporting workflows. The result is a stronger ability to build validated query outputs, reusable report logic, and decision-ready summaries that reduce reporting errors and improve confidence in every number you present.

Duration
5 Days
Duration
Certificate
Certificate
Included
Delivery
Instructor-Led
Delivery
Level
Intermediate
Level
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Classroom Training

In-person sessions at premier locations

Nairobi Kenya
Mon - Fri
5 Days
USD 1,600
Kigali Rwanda
Mon - Fri
5 Days
USD 1,900
Dubai United Arab Emirates (UAE)
Mon - Fri
5 Days
USD 4,100
Zanzibar Tanzania
Mon - Fri
5 Days
USD 2,400
Customized Content
Team Training
Flexible Dates

In-person training at our premier venues — pick a city and date that works for you.

Location Duration Fee Language
Nairobi, Kenya Mon - Fri (5 Days) USD 1,600 English See dates & reserve →
Kigali, Rwanda Mon - Fri (5 Days) USD 1,900 English See dates & reserve →
Dubai, United Arab Emirates (UAE) Mon - Fri (5 Days) USD 4,100 English See dates & reserve →
Zanzibar, Tanzania Mon - Fri (5 Days) USD 2,400 English See dates & reserve →
Abuja, Nigeria Mon - Fri (5 Days) USD 2,800 English See dates & reserve →
Addis Ababa, Ethiopia Mon - Fri (5 Days) USD 2,400 English See dates & reserve →
Mombasa, Kenya Mon - Fri (5 Days) USD 1,700 English See dates & reserve →
Cape Town, South Africa Mon - Fri (5 Days) USD 3,900 English See dates & reserve →
Johannesburg, South Africa Mon - Fri (5 Days) USD 3,500 English See dates & reserve →
Kampala, Uganda Mon - Fri (5 Days) USD 1,900 English See dates & reserve →
Pretoria, South Africa Mon - Fri (5 Days) USD 3,300 English See dates & reserve →
Lagos, Nigeria Mon - Fri (5 Days) USD 2,500 English See dates & reserve →
Arusha, Tanzania Mon - Fri (5 Days) USD 2,000 English See dates & reserve →
Dar es Salaam, Tanzania Mon - Fri (5 Days) USD 1,900 English See dates & reserve →
Accra, Ghana Mon - Fri (5 Days) USD 3,800 English See dates & reserve →
Bangalore, India Mon - Fri (5 Days) USD 4,200 English See dates & reserve →
Muscat, Oman Mon - Fri (5 Days) USD 4,300 English See dates & reserve →
Naivasha, Kenya Mon - Fri (5 Days) USD 1,700 English See dates & reserve →

Live, instructor-led sessions you can join from anywhere — pick the next start date below.

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About the Course

Organizations want reporting they can prove, not just reporting they can repeat. In SQL for Business Analysts and Reporting Professionals, that means showing how you can extract trusted figures from relational databases, reconcile totals across tables, and support audit-ready reporting logic using SQL Server or a comparable SQL environment. The capabilities that matter most here are accurate filtering, reliable joins, metric calculation, result validation, and structured report extraction, all of which connect directly to business reporting governance and analytical credibility.

This course turns scattered query knowledge into a practical reporting system. You will work through SELECT statements, filtering, GROUP BY aggregations, JOIN logic, subqueries, CTEs, window functions, date handling, and data validation patterns, while being introduced to execution-plan awareness and query performance concepts at an operational level. You will practice building reporting queries, summary extracts, exception checks, and reusable query templates, and you will be introduced to dashboard-ready output design and AI-assisted SQL drafting as a modern productivity aid. This course teaches you how to write business queries that answer specific operational questions so you can deliver validated reports faster and with fewer manual corrections.

The pace is designed for professionals who work under real constraints such as deadline pressure, evolving data definitions, inconsistent source quality, and competing reporting requests from multiple teams. The course is built for people who must deliver useful SQL output without waiting for a data engineering team to rescue every request, and it keeps the focus on practical reporting work rather than abstract database theory.


Target Audience

This course is designed for professionals who need to extract, validate, and explain business data using SQL in reporting-heavy environments.

  • Business Analysts building recurring operational reports
  • Reporting Analysts validating KPI extracts and scorecards
  • Management Information Analysts preparing leadership dashboards
  • Operations Analysts reconciling source data across systems
  • Finance Analysts calculating monthly performance metrics
  • Sales Analysts summarizing pipeline and revenue data
  • Marketing Analysts querying campaign and conversion tables
  • Data Analysts supporting self-service reporting teams
  • MIS Managers overseeing report quality and consistency
  • Analytics Leads standardizing SQL reporting workflows

Course Objectives

This course equips you to design, execute, and measure SQL reporting initiatives that improve data accuracy, strengthen auditability, and support decision-ready analysis.

  • Assess relational database structures using primary keys, foreign keys, and ERD-based table relationships.
  • Apply SELECT, WHERE, ORDER BY, and CASE logic to business reporting queries.
  • Design JOIN and aggregation queries that produce validated KPI tables and summary reports.
  • Build reusable CTEs and subqueries for reporting workflows and exception checks.
  • Evaluate query outputs against reconciliation checks, NULL handling, and duplicate-control rules.
  • Navigate reporting requirements from finance, operations, and management stakeholders using SQL extracts.
  • Implement window functions and date calculations to track trends and performance metrics.
  • Synthesize SQL results into dashboard-ready extracts, narrative summaries, and report packs.

Requirements & Prerequisites

Prerequisites required: working knowledge of spreadsheets and business reporting concepts, comfort with basic data tables and numeric analysis, and no programming background beyond simple logic is required. A laptop with a modern web browser is needed for hands-on labs, and participants should be prepared to work with sample business datasets and query templates. Prior SQL experience is helpful but not mandatory for completion; the course is pitched at intermediate level, with advanced topics such as window functions and CTEs taught at operational application level rather than full engineering depth.


Local Application and Business Return in Greece

How participants can apply the training in local operating conditions, and the return their organisation can plan for.

How participants apply this

Participants apply this course by writing queries to extract clean reporting tables from operational databases, then validating totals, joins, and filters before they are used in dashboards or management packs. They use grouping, CASE logic, CTEs, and window functions to calculate KPIs such as sales by channel, performance by branch, overdue items, and trend-based measures. In day-to-day work, that means fewer manual Excel steps, faster ad hoc answers for managers, and more defensible numbers in recurring reports. It also helps them explain where a figure came from and reproduce it the same way every month.

Expected ROI

Within 6–12 months, teams typically see faster report turnaround because analysts can self-serve more of their own data needs. They also reduce avoidable rework caused by incorrect joins, double counting, and inconsistent filters. For managers, the practical payoff is greater trust in dashboards and better decisions based on numbers that can be traced back to source data. In reporting-heavy departments, the time saved on manual reconciliation can be redirected to analysis rather than data preparation.

Training Methodology

This is a practical, outcome-driven course designed to turn SQL reporting aspiration into measurable action and credible reporting.

Methodology includes:

  • Hands-on query lab using sales and finance metric datasets.
  • Scenario simulation for a month-end reporting deadline with missing values.
  • Diagnostic exercise using a SQL query checklist and reconciliation rules.
  • Stakeholder mapping for finance, operations, and executive reporting chains.
  • Case study analysis from retail, banking, healthcare, and logistics reporting use cases.
  • Group workshop creating a reusable KPI query pack under time constraints.
  • Reflection exercise comparing current reporting practice against query validation benchmarks.

Upcoming Sessions

Next available dates worldwide

No international sessions scheduled

Certification

Recognized credentials that advance your career

Participants who complete the SQL for Business Analysts and Reporting Professionals Training Program earn a Trainingcred Certificate of Achievement, demonstrating professional competence and alignment with global standards in learning and development.

NITA Accredited

Accredited by the National Industrial Training Authority, ensuring programs meet nationally recognized standards of quality and relevance.

CPD Certified

Recognized by the CPD Certification Service, ensuring every program meets internationally benchmarked standards of professional excellence.

Why this course earns its place on your CV

Accredited training, practitioner trainers, and peers on the same career track — the three things real expertise is built on.

Effective Learning & Skill Development

  • Build expertise with structured, outcome-driven learning.
  • Equip individuals and teams with skills that grow with industry needs.
  • Reinforce learning through real-world scenarios, case studies and practical exercises.

Career Growth & Professional Advancement

  • Apply what you learn with a proven methodology that ensures lasting impact.
  • Develop immediately usable skills that translate directly into workplace success.
  • Gain the expertise needed for career advancement and leadership roles.

Training Optimization & Learning Excellence

  • Tailor training to industry-specific challenges and organizational goals.
  • Use data-driven insights and automation to enhance training effectiveness.
  • Evaluate progress and ensure long-term learning success.

Tools and platforms relevant to this field

Examples Greece teams may encounter, and that may be featured in training where they support the confirmed course scope.

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These are field-relevant examples, not a promise that every tool will be covered. Exact coverage depends on the confirmed course scope, participant needs, and delivery format.

  • Microsoft Power BI Microsoft
    Used to build management dashboards and reporting layers that often sit on top of SQL queries and governed datasets.
  • Microsoft SQL Server Microsoft
    Commonly used for storing operational and reporting data that analysts query for recurring business reports.
  • PostgreSQL PostgreSQL Global Development Group
    Used for relational reporting databases where analysts need joins, aggregates, and reusable query logic.
  • MySQL Oracle
    Used in application and reporting environments where analysts extract structured data for business analysis.
  • Tableau Salesforce
    Used for dashboards that depend on accurate SQL-based data preparation and validation upstream.

Real Results from Real Professionals

Thousands of professionals have transformed their careers through our training programs. Now, it's your turn.

Local market advisory

Course relevance for Greece

A country-specific view of market pressure, regulatory context, and practical business return behind this training.

  • Market context
  • Regulatory fit
  • Business application

Why this course matters in Greece

A market-specific advisory on the operating pressures this course helps teams address.

SQL training matters in Greece because business reporting teams need faster, cleaner access to data across finance, retail, logistics, tourism, and shared-service operations. When analysts can write reliable queries themselves, organisations reduce spreadsheet rework, shorten reporting cycles, and improve confidence in performance metrics used by managers and controllers. This course is especially relevant for business analysts, reporting specialists, operations analysts, and finance teams that support recurring management reporting, KPI tracking, and ad hoc decision support. It helps leaders make better calls on revenue trends, cost control, service performance, and operational bottlenecks using consistent data definitions.
Reporting speed becomes a competitive issue

Greek organisations that rely on monthly or weekly management reporting benefit when analysts can pull and validate data directly from source systems instead of waiting on manual exports and spreadsheet consolidation.

Metric consistency matters across functions

SQL skills help finance, operations, and commercial teams use the same logic for revenue, margin, churn, occupancy, or service-level reporting, reducing disputes caused by multiple spreadsheet versions.

Self-service analytics needs guardrails

As dashboards and self-service BI tools spread, teams in Greece still need SQL literacy to test joins, totals, and filter logic before publishing numbers to management.

This training is timely because organisations increasingly expect analysts to work directly with data platforms rather than depend on IT for every report request. In data-rich sectors such as finance, tourism, retail, and logistics, the main risk is not lack of data but avoidable reporting errors, slow turnaround, and inconsistent KPI definitions.

Regulatory context in Greece

The local regulators, laws, and frameworks shaping this discipline, with the curriculum mapped to what teams need to know.

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Regulators

  • HDPA Relevant when SQL-based reporting uses personal data and analysts need to understand data minimisation, access control, and lawful processing in reporting workflows.
  • ELSTAT Important for analysts working with official statistics, benchmarking, and reporting standards that may be used in public-sector or market analysis.
  • AADE Relevant for finance and tax-related reporting environments where SQL queries may support reconciliations, controls, and compliance reporting.

Frameworks the course aligns with

  • 01 General Data Protection Regulation · 2016
  • 02 Greek Law 4624/2019 on the Protection of Personal Data · 2019

Frequently Asked Questions

Got questions? We've gathered the answers to common queries to help you feel confident and informed.

No. SQL is a structured query language, not a full programming language, and most business analysts learn it as a practical reporting skill. The key requirement is comfort with tables, business metrics, and logical thinking.

Yes. Power BI and Excel are still only as reliable as the data logic behind them. SQL helps you prepare, test, and validate the underlying data before it reaches a dashboard or spreadsheet model.

Recurring management reports, KPI packs, ad hoc analysis, and exception reporting usually improve first. Analysts can retrieve data faster, combine tables correctly, and reduce manual reconciliation.

No. It is especially useful for business-facing roles that need to answer questions from data without waiting on engineers. Reporting professionals, finance analysts, and operations analysts often gain the most immediate value.

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