Data analytics and BI services: Power BI, Tableau and Looker
Data analytics and Power BI services: dashboards and semantic models in Power BI, Tableau and Looker, product analytics and A/B testing, financial, marketing and operational reporting, and analytics embedded in your own product, built on agreed definitions, with dedicated data analysts and BI developers for your team or a reporting project delivered end to end.
Analytics and BI work we take on
Power BI reports and semantic models
Star-schema models where each measure is defined once in DAX and reused by every report, tuned with DAX Studio and Tabular Editor, saved as Power BI Project files in Git and promoted through deployment pipelines rather than edited in production.
Tableau and Looker
Tableau workbooks on published data sources in Tableau Cloud or Server, Looker models written in LookML and reviewed in Git, and Data Studio (formerly Looker Studio), Qlik Sense, Metabase or Apache Superset where your teams already use them.
Product analytics
Tracking plans and event instrumentation with Segment, RudderStack or PostHog, and funnels, retention, cohorts and feature adoption in Amplitude, Mixpanel, PostHog or GA4 with its BigQuery export.
A/B tests and experiments
Experiments designed with the sample size and the primary metric fixed in advance, run in GrowthBook, Statsig or Optimizely, and read out with variance reduction such as CUPED and guardrail metrics, so a launch decision rests on more than one chart.
Financial and operational reporting
Management accounts, profit and loss, cash flow and KPI packs drawn from your ERP and billing systems, operational dashboards for sales, stock and delivery times, and paginated reports for invoices and statements.
Marketing and revenue analytics
Acquisition cost, lifetime value, cohort revenue and return per channel from ad platform, CRM and billing data, with attribution and marketing mix models in Meridian or PyMC-Marketing when the budget is split across many channels.
Metrics layer and KPI definitions
Each KPI agreed with its owner and defined once in the dbt Semantic Layer, Cube, LookML or a Power BI semantic model, so the finance pack, the product dashboard and an ad hoc query return the same number.
Embedded analytics
Dashboards inside your own product through Power BI Embedded, Tableau Embedded Analytics or Looker embedding, signed in through your application, with each customer’s data isolated by row-level security tested per role and capacity sized to real usage.
Report migrations
Spreadsheets, SSRS, Qlik, Tableau and Power BI reports rebuilt on the platform you are moving to, with every figure reconciled against the old report before it is retired.
Hire data analysts and BI developers
Dedicated data analysts and BI developers
Data analysts and BI developers who join your team full time, work in your tools and process, and report to your lead. You interview them; we carry the Ukrainian contract, payroll, invoicing and leave.
Data analytics projects
A defined piece of data analytics with a scope, a fixed plan and a named lead on our side who owns the result and reports progress in your channels.
Ongoing data analytics
Data analytics as a continuing service: the same people every month, a backlog you prioritise, and hours you can see in our portal and on the invoice.
The dedicated team page explains how specialists join your team, and the outsourcing page covers project delivery, take-overs and how we charge.
Who works on your data analytics
Data analysts
KPI definitions, SQL and ad hoc analysis
Product analysts
Event tracking, funnels and experiments
BI developers
Power BI, Tableau and Looker models and dashboards
Data engineers
The pipelines and warehouse under the reports
UI and UX designers
Dashboard layout and readability
Numbers people can trust
Every figure is defined once, in the semantic model, the LookML project or the metrics layer, and agreed with the person who owns it before a report is built on it. Before launch the numbers are reconciled against the source system and the reports people already use, so a difference is explained in a review rather than discovered in a board meeting.
Access follows your accounts: reports are shared with groups from Microsoft Entra or Google Workspace rather than with individuals, row-level security is tested per role, and personal data that a report does not need never enters the model.
Other data and AI services we provide
AI and machine learning
AI and machine learning development services: forecasting, fraud detection, recommendation systems, computer vision, NLP and speech recognition, and MLOps, with dedicated machine learning engineers or project delivery.
Generative AI development
Generative AI development services: RAG over your documents, AI agents, chatbots, LLM features, document processing, fine-tuning, evaluation and voice agents, with dedicated AI developers or project delivery.
Data engineering
Data engineering services: ETL pipelines, Spark, dbt and streaming, warehouses and lakehouses on Snowflake, Databricks, BigQuery, Redshift and Microsoft Fabric, with dedicated data engineers or project delivery.
Database development
Database development and administration services: schema design, query tuning, migrations and backups on SQL Server, PostgreSQL, MySQL, Oracle and MongoDB, with dedicated database developers and DBAs or project delivery.
Computer vision development
Computer vision development services: object detection, visual inspection, OCR, video analytics, medical imaging and models on edge devices, with dedicated computer vision engineers or project delivery.
Data annotation
Data annotation and labelling services for AI: image, video, text, audio and LiDAR labelling, RLHF and evaluation data, with quality control on every batch, from dedicated data annotators or project delivery.
MLOps
MLOps services and consulting: ML platforms, CI/CD for models, model registries, serving and autoscaling, GPU infrastructure, drift monitoring and LLMOps, with dedicated MLOps engineers or project delivery.
Databricks development
Databricks development and consulting: lakehouse set-up, Lakeflow pipelines, Unity Catalog, migrations, AI/BI, machine learning and cost control, with dedicated Databricks engineers or project delivery.
Snowflake development
Snowflake development and consulting: warehouse design, Snowpipe and Openflow ingestion, dbt, migrations, Cortex AI, security and cost control, with dedicated Snowflake developers or project delivery.
Kafka and event streaming
Apache Kafka development and consulting: event-driven architecture, Kafka Connect and Debezium, Flink and Kafka Streams, Confluent Cloud, MSK and Event Hubs, with dedicated Kafka engineers or project delivery.
Workflow automation
Workflow and AI automation services: n8n, Make, Zapier and Power Automate flows, AI agents in workflows, CRM, finance and document automations, with dedicated automation developers or project delivery.
Questions about data analytics and Power BI
Which industries do your data analysts and BI developers work in?
Fintech, for financial, risk and customer reporting; e-commerce and retail, for sales, margin, funnel and inventory dashboards; AI and data products, for product and usage analytics; enterprise SaaS, for revenue, churn and customer health; healthcare, for operational and patient-flow reporting; and logistics, for delivery times, fleet use and warehouse throughput.
Which BI and analytics tools do you work in?
Power BI, Tableau, Looker and Data Studio (formerly Looker Studio), Qlik Sense, Metabase and Apache Superset for reporting; Amplitude, Mixpanel, PostHog and GA4 for product analytics; and SQL and Python underneath, on whichever warehouse or database holds the data. We build in the tool your people already use, or help you choose one when there is none.
Can you speed up a slow Power BI report?
Usually. Performance Analyzer and DAX Studio show whether the time goes on the visuals, the DAX or the source query. The fix is most often in the model, with fewer columns, a proper star schema and incremental refresh, before any extra capacity is bought.
Do we need Microsoft Fabric to use Power BI?
No. Power BI Pro or Premium Per User licences cover most reporting on their own. Fabric capacity starts to pay off when the pipelines and the warehouse should live beside the reports, or when the number of report viewers makes a capacity cheaper than a licence per person.
How quickly can data analysts and BI developers start?
When the right data analyst or BI developer is available, the start is gated only by your interview and the NDA and IP assignment. Otherwise we run a search, which typically produces candidate profiles within two to three weeks, and nobody starts until you have said yes.
How do we hire data analysts and BI developers through BigTree108?
Tell us the work, the seniority and the hours you need. We propose one or two people with their profiles, you interview them the way you would interview your own hire, and you sign one agreement with BIG TREE 108 LLC and receive one invoice a month.
Who owns the work they produce?
You do. Every specialist has a signed contract with BigTree108 that assigns all work product to the company, and our agreement with you assigns it onward. Code, designs and documents are delivered into your own repositories and tools, not kept where only we can change them.
Need reports people can rely on?
Tell us the questions your reports must answer and where the data lives. You get an answer within one business day: a plan, a review of your current reports, or candidate profiles.