IQ-EQ
Investor Services
AnalyticsEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Analytics Engineer at IQ-EQ. Skills: Data warehousing, BI development, Data analysis, SQL Server. Gather analytics requirements. Gather dashboard requirements”
Industry & Context.
Analytical thinking; Critical thinking
Travel internationally
What They're Looking For.
Must Have
Degree in Data Analytics, Computer Science, or IT certification, At least 5 years' experience in data engineering, developer, or database role, Strong, hands-on expertise in SQL Server (2016+), Proficient in T-SQL, Proficient in Microsoft Fabric, Proficient in Azure Synapse, Proficient in Azure Databricks, Proficient in Azure Data Factory, Proficient in cloud data stores across Azure, AWS, or GCP, Proven experience designing end-to-end data architectures, Proven experience designing dimensional data models, Experience working with structured data, Experience working with semi-structured data, Experience working with unstructured data, Experience delivering batch ETL/ELT solutions, Experience delivering near-real-time ETL/ELT solutions, Experience delivering low-latency ETL/ELT solutions, Proficient in analytics, Proficient in BI, Proficient in visualization, Hands-on experience using Power BI, Hands-on experience using Tableau, Hands-on experience using Python/Spark libraries, Hands-on experience using Excel (including PowerPivot), Communicate effectively with clients and stakeholders, Demonstrate analytical thinking, Demonstrate critical thinking, Collaborate across cultures and teams, Show a results-driven mindset, Show an adaptable mindset, Commitment to continuous learning, Commitment to innovation
Nice to Have
Experience with QlikView, Experience with Looker, Experience with ThoughtSpot, Experience with frontend technologies, Experience with embedding technologies, Experience with D3, Experience with React, Experience with Node.js
What You'll Do.
Gather analytics requirements
Gather dashboard requirements
Translate requirements into BI solutions
Maintain BI database architecture
Enhance BI database architecture
Perform exploratory data analysis
Define business-critical features
Support advanced reporting
Design data warehouse solutions
Design analytics solutions
Deliver data warehouse solutions
Deliver analytics solutions
Optimize SQL Server queries
Optimize stored procedures
Ensure efficient data retrieval
Ensure reliable data retrieval
Manage delivery updates
Document analytics solutions
Resolve legacy system challenges
Handle help desk requests
Handle development requests
How You'll Work.
Team & Collaboration
External clients; Vendors; Project representatives; Internal stakeholders; Across cultures; Across teams
Communication Scope
Client communication; Stakeholder communication
Full Job Description
ABOUT IQ-EQ We’re a leading Investor Services group offering end-to-end services in administration, accounting, reporting, regulatory and compliance needs of the investment sector worldwide. We employ a global workforce of 6,500+ people across 25 jurisdictions and have assets under administration (AUA) exceeding US$750 billion. We work with 13 of the world’s top 15 private equity firms. Our services are underpinned by a Group-wide commitment to ESG and best-in-class technology including a global data platform and innovative proprietary tools supported by in-house experts. Above all, what makes us different is our people. Operating as trusted partners to our clients, we deliver intelligent solutions through a combination of technical expertise and strong relationships based on deep client understanding. We’re driven by our Group purpose, to power people and possibilities. Office: India based (Hybrid) – Travel (Internationally) may be required therefore access to major transport hub very desirable. Department: Technology Reports to: Head of Data Analytics & BI Development You will play a pivotal role in the development and maintenance of interactive client, investor and operational team facing dashboards using Tableau, Power BI and other visual analytics tools. You will work closely with clients and senior stakeholders to capture their BI requirements, conduct data analysis using SQL, Python (or other open-source languages), and visualise the insights in an impactful manner. Tasks (what does the role do on a day-to-day basis) * You’ll engage with external clients, vendors, project representatives, and internal stakeholders to gather analytics and dashboard requirements and translate them into effective BI solutions. * You’ll maintain and enhance the existing BI database architecture, performing exploratory data analysis and defining business‑critical features to support advanced reporting and insights. * You’ll design and deliver best‑practice data warehouse and analy
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