Hi D***i, I’m J***e from StrategyBrain. I noticed your role as a Data Analyst at P***L and your RPA and analytics work at C***i I***t,very impressive. We’re partnering with I***a S***s to hire a Digital Transformation Data Consultant, focusing on large-scale data analysis, dashboarding, and RPA-driven process improvements. Would you be open to a brief chat to explore this opportunity?

Hi D***i, great to hear you’re interested! I’m available for a 30-minute chat tomorrow (Wednesday) at 10:00 AM CET or 2:00 PM CET,would either work for you? During our call, I’ll share more about the Digital Transformation Data Consultant role at I***a S***s and would love to learn about the biggest challenges you’re facing in your current analytics and RPA projects. Let me know which time suits you, or suggest another slot, and I’ll send a calendar invite. Looking forward to speaking! J***e

Hi D***i, Great,tomorrow at 2:00 PM CET is locked in. I’ll send over a calendar invite shortly. Before we chat, here’s a quick overview of I***a S***s and the Digital Transformation Data Consultant role: Company Snapshot • Mid-sized consultancy specializing in end-to-end data analytics and digital transformation for logistics, housing and healthcare • Collaborative culture blending business acumen with cutting-edge technology and continuous learning Role Highlights 1. Analyze and interpret large-scale operational and business data,similar to your work at P***L,to uncover insights and drive process optimization. 2. Design and build interactive dashboards and reports using modern BI tools for real-time visibility. 3. Lead RPA projects by developing data-driven workflows to tackle legacy systems, data quality issues and silos,directly addressing the challenges you mentioned. 4. Collaborate with cross-functional teams to translate analytical findings into strategic recommendations. 5. Prototype and deploy machine learning models for predictive analytics and decision support. Why This Role Fits Your Background • Your RPA experience at C***i I***t and current data integration challenges align perfectly with our mission. • Immediate opportunity to own end-to-end automation projects and mentor junior analysts. • Hands-on exposure to diverse industry clients, sharpening both technical and consulting skills. What We Offer • Fast-track career progression and leadership opportunities • Dedicated data-engineering support and training budget for new tools • Competitive salary, performance bonus and professional development incentives Looking forward to diving into your current challenges and exploring how this role can help you overcome legacy data hurdles. Do you have any questions or specific areas you’d like me to cover tomorrow? Best, J***e HR Recruiter, StrategyBrain

Hi D***i, Great questions! In our core projects we use Microsoft Power BI as our primary BI platform,supplemented by Tableau on select engagements,and UiPath for RPA development. We’ve also begun experimenting with Automation Anywhere for certain client needs. The Digital Transformation team at I***a S***s is a close-knit group of about 8,10 professionals: data consultants, data engineers, an RPA specialist and a project lead. In this role you’ll report directly to our Director of Analytics, with a dotted line into the RPA Practice Lead, and collaborate daily with project managers and client stakeholders. Looking forward to walking through more details tomorrow at 2 PM CET,see you then!

Hi D***i, Great questions. For RPA tool selection, we start by assessing the client’s existing ecosystem (licenses, security policies, preferred vendors) and the automation scope. UiPath tends to be our go-to when clients need a broad marketplace of prebuilt activities, strong attended-automation support or AI/ML integration. Automation Anywhere often wins on large unattended workloads and when clients already hold enterprise-level AA licenses. We’ll also run a quick proof of concept to validate dev speed, stability and orchestration needs before committing. On the BI side, we have a dedicated data-engineering team responsible for building and maintaining robust end-to-end pipelines (data ingestion, cleansing, transformations in Azure Data Factory or Databricks, etc.). As a Digital Transformation Data Consultant, you’ll partner closely with them: you’ll define requirements, design the semantic model and build the Power BI reports (Power Query, DAX and dashboard layer). In smaller or more agile engagements, consultants often own the full flow from source to visualization, but for larger-scale implementations, the heavy lifting of the pipeline sits with data engineering. Looking forward to walking through these workflows in our call tomorrow at 2 PM CET,let me know if there’s anything else you’d like to cover! Best, J***e

Hi D***i, Great questions. For an RPA POC we typically run a 3,4-week cycle: • Week 1: process discovery & data mapping • Week 2: bot development & initial testing • Week 3: optimization & stability tests • Week 4: user acceptance & handover We measure success by predefined KPIs,throughput (e.g. transactions/hour), error rate (usually target < 2,5% depending on complexity) and end-user feedback on usability and effectiveness. We track all three on a simple POC dashboard to guide our go/no-go decision. On the BI side, as a Digital Transformation Data Consultant you’ll own the semantic model, Power Query transformations and DAX measures in Power BI. Our data-engineering team builds and maintains the core pipelines in Azure Data Factory (or Databricks). That said, in smaller or rapid-turnaround projects consultants often prototype or tweak ADF pipelines end-to-end,so if you enjoy getting hands-on with ADF, there’s room to dive in. Let me know if you’d like any more detail before our call tomorrow at 2 PM CET. Looking forward to it! Best, J***e