Independent BI consultant · Berlin & remote

Data people understand. Metrics teams act on.

I help teams turn fragmented data and manual reporting into clear dashboards, reliable KPI logic and scalable analytics solutions.

Power BI · SQL · Python · Databricks · Data Analytics
From data to decision

Illustrative demo data

Client revenue€842K+14.8%
Billable utilization78%+6 pts
Forecast104%on plan
ConnectCRM + time tracking
ModelTrusted KPI logic
VisualizePower BI view
ActPrioritize accounts
10+years across data, products and technology
2working languages: German and English
5core capabilities across BI, SQL, Python, Databricks and UX
3clear ways to begin an analytics engagement
01

Sales results arrive too late

By the time monthly reporting is ready, the opportunity to correct course has already passed.

02

Revenue hides the real story

Top-line growth can conceal margin leaks, weak products, stalled regions and underperforming channels.

03

Reporting steals selling time

Manual spreadsheets keep commercial teams preparing numbers instead of acting on them.

My working area

Your data. A clear path to action.

I connect the tools you already use, make the numbers reliable and build reports that support everyday decisions.

INPUTCRM & ERPSales & operations
INPUTExcel & APIsFiles & connected data
PROCESSData preparationSQL · Python · Power Query
STOREData warehousingDatabricks · SQL
MODELData modellingKPI logic · DAX
VISUALISEPower BIDashboards & KPI logic
GUIDEBI strategyPeople · ownership · processes
ACTBusiness decisionsRevenue · margin · priorities

Illustrative workflow · The solution is tailored to your tools and needs.

Services

Analytics built around commercial outcomes.

The goal is not another dashboard. It is a shared view of revenue, sales and profitability that helps your team decide what to do next.

01

BI fundamentals

Build a shared understanding of your metrics and turn business questions into clear reporting requirements.

02

Data management & warehousing

Connect sources, design analytical architectures and automate reliable data pipelines with SQL, Power Query and Databricks.

03

Data modelling

Create maintainable analytical models, consistent KPI definitions and efficient DAX calculations for trusted reporting.

04

Big Data & analytics

Use Python and Databricks to prepare large or unstructured datasets and analyse trends, performance and business opportunities.

05

Visualisation & dashboards

Build and improve Power BI reports tailored to their users, making revenue, margin and sales performance easy to understand.

06

BI tools & integration

Evaluate suitable BI tools and connect Power BI, SQL, Python and Databricks into a practical reporting workflow.

07

BI strategy & organisation

Define a practical BI roadmap, clarify data ownership and establish responsibilities and repeatable reporting processes.

Ways to work together

Start with the problem you have now.

You do not need to know the technical solution first. Bring the reporting problem, the spreadsheet or the dashboard that is not working.

Low-risk first step

Revenue Reporting Review

Review your current reports, KPI definitions and data flow. Leave with the main gaps, risks and a prioritized next step.

Request a review →
Focused project

Sales Dashboard Sprint

Turn a defined commercial question into a focused Power BI dashboard for management and sales conversations.

Discuss a dashboard →
Scalable foundation

Analytics & Automation

Connect multiple sources, standardize logic and automate recurring reporting with Power BI, SQL, Power Query or Databricks.

Explore the solution →

Selected work

Commercial questions, made visible.

Demonstration projects using synthetic data. Each shows how reporting can move from presenting numbers to supporting revenue decisions.

Demo project

Sales Performance Command Center

Power BIDAXModeling

A shared view of revenue, margin, targets and regional performance that highlights where leadership attention is needed.

Synthetic demo data
€2.48M +12.4%
Demo project

Revenue Dashboard Rescue

ProfitabilityOptimizationUX

A before-and-after redesign that aligns KPI logic, reveals margin and product-mix drivers, and makes the report easier to act on.

Synthetic product mix
Core62%
Growth24%
Watch14%
Demo project

Scalable Revenue Analytics

DatabricksETLPower BI

A Databricks-based path from raw sales data to trusted commercial tables and a connected Power BI decision layer.

Synthetic pipeline
8sources
3layers
1model

About

Independent expertise. Enterprise perspective.

I’m Mirage Frida, a Berlin-based independent Business Intelligence analyst and Power BI developer with more than 10 years of experience across data, products and technology. I help teams connect sales and operational data to the commercial questions behind it: what is growing, what is underperforming and where to act next.

My background includes Power BI, Python, data analysis, product ownership, IT and engineering. A Master’s in Usability Engineering, combined with my data analytics background, shapes how I work: analytics succeeds only when people can understand it, trust it and use it in a real decision.

Power BI · SQL · PythonReporting, modeling, automation and analysis
Usability EngineeringClear experiences for real users
Enterprise perspectiveScalable, maintainable solutions
DE · ENGerman and English

Approach

From revenue question to next action.

Every engagement starts with the commercial decision—not the chart. The solution stays focused, explainable and maintainable.

Frame

Clarify the revenue, margin or sales decision the team needs to make.

Define

Agree on KPI logic, data sources and the questions each view must answer.

Build

Create and refine the solution with the people who will use it in decisions.

Activate

Make the insight repeatable, documented and easy to use in regular reviews.

Start a conversation

What would a useful metric change for your team?

Tell me what your team is trying to understand, improve or automate. I’ll help identify a practical first step—without turning it into a larger project than it needs to be.