Position
Power BI Developer
Company
Chain IQ
Location
Navi Mumbai, India
Job type
Full-time
Job mode
Onsite
Job requisition id
Not provided in the original JD
Years of experience
0 to 3 Years
Company description
Chain IQ operates as a premier, globally recognized partner in the realm of procurement services, leaning heavily into the transformative power of artificial intelligence to redefine how organizations manage their expenditures.
Headquartered in the strategic and meticulously precise business hub of Baar, Switzerland, the enterprise has systematically expanded its physical and operational footprint across the globe.
The organization currently boasts a highly interconnected network of main operational centers and maintains an active, dynamic presence through sixteen dedicated offices strategically located worldwide to serve a diverse, international clientele.
At its core, the company is fundamentally dedicated to the design, development, and flawless execution of deeply customized, end-to-end procurement solutions that address the highly specific nuances of various industry verticals.
These sophisticated solutions are meticulously engineered not just as passive tools, but as active catalysts that enable comprehensive operational transformation, driving immense scalability and robust agility for enterprise clients.
A primary, unwavering objective of these technological and strategic interventions is to deliver substantial, measurable, and deeply impactful reductions in the indirect spend categories of their global clients, thereby directly improving bottom-line profitability and resource allocation.
The foundational culture that permeates every level of the organization is meticulously constructed upon the deeply held pillars of continuous innovation, rigorous entrepreneurship, unwavering personal ownership, and the relentless pursuit of meaningful impact.
Within this progressive corporate environment, the individual voices and unique perspectives of every team member are not just passively heard, but actively sought out, deeply respected, and considered vital to the ongoing evolution of the company's service offerings.
Employees are consistently encouraged to engage in bold, disruptive, and forward-thinking ideation, challenging the established norms of the procurement industry and proposing novel methodologies to solve complex supply chain and data challenges.
Furthermore, this culture demands that such ambitious thinking is rapidly and decisively followed by concrete, pragmatic action, ensuring that brilliant concepts are effectively transformed into tangible, value-generating realities for both the firm and its esteemed clients.
The company places a massive premium on the agility of ideas, fostering a dynamic ecosystem where insights and innovations are accelerated from the drawing board to global implementation with unprecedented speed and efficiency.
As an organization deeply entrenched in the digital era, there is a constant, sweeping focus on digitalization, Environmental, Social, and Governance (ESG) mandates, and advanced analytical paradigms that ensure procurement is ethical, sustainable, and highly optimized.
Profile overview
This pivotal role centers on the comprehensive design, meticulous development, and ongoing, proactive maintenance of advanced Power BI dashboards, intricate reporting structures, and sophisticated analytical applications that serve as the bedrock for both daily operational tactics and long-term strategic decision-making.
The professional occupying this position is tasked with the critical responsibility of conceiving, constructing, and rigorously maintaining highly reusable semantic models, thereby moving away from siloed data practices toward a unified, single-source-of-truth architecture.
A significant portion of the day-to-day workflow involves the intricate structuring of comprehensive business measures, robust Key Performance Indicator (KPI) frameworks, and deeply analytical data structures that can flexibly accommodate evolving business inquiries.
The role requires a highly specialized ability to seamlessly translate complex, often nuanced business requirements and abstract executive queries into highly governed, structured, and technically sound analytical solutions.
These solutions must always remain strictly aligned with the overarching enterprise data products, data governance protocols, and the stringent analytical standards established by the broader organization.
You will serve as a crucial, proactive partner, collaborating deeply and continuously with the Procurement Intelligence divisions and various other key business stakeholders to explicitly define vital metrics, granular reporting requirements, and advanced decision-support capabilities.
A massive focal point of this profile is the active, deliberate contribution to the expansive development and maturation of self-service analytics capabilities, empowering business users to derive their own insights safely and accurately.
This empowerment is achieved through the meticulous creation of highly reusable datasets, standardized reporting templates, and intuitive, repeatable reporting patterns that drastically lower the barrier to entry for data exploration across the enterprise.
The developer is fundamentally responsible for ensuring absolute, uncompromising consistency in business definitions, mathematical calculations, and reporting logic across the entirety of the organization's analytical solutions, eliminating contradictory data outputs.
Continuous optimization is a core tenet of this profile; the developer must relentlessly refine analytical models, streamline DAX queries, and restructure datasets to guarantee maximum scalability, lightning-fast performance, and long-term maintainability.
Active, rigorous support of comprehensive data quality validation processes and stringent reporting assurance activities is expected, ensuring that executives and operational leaders base their decisions on flawlessly accurate data.
You will operate within a highly collaborative matrix, partnering extensively with complex Data Engineering squads and strict Data Governance councils to ensure that all newly created analytical assets seamlessly align with the master enterprise data models and security controls.
A key mandate of this profile involves acting as an internal consultant to proactively identify and execute upon strategic opportunities to drastically simplify the existing, often convoluted reporting landscapes through aggressive standardization, intelligent automation, and the deployment of reusable analytical assets.
Ultimately, the role demands active, forward-looking contribution to the continuous, strategic evolution of the company's overarching analytics capabilities, laying the crucial groundwork to support impending automation initiatives, real-time operational intelligence, and sophisticated, AI-driven predictive experiences.
Qualifications
Candidates must possess a strong, deeply demonstrable, and expansive track record of experience specifically centered around developing highly interactive, enterprise-grade Power BI dashboards that cater to varied executive and operational audiences.
This experience must unequivocally include the architecture and deployment of complex semantic models and comprehensive, deeply integrated enterprise reporting solutions rather than isolated, ad-hoc data visualizations.
Absolute, unquestionable proficiency is demanded across the entire Microsoft Power BI ecosystem, requiring deep, hands-on mastery of Data Analysis Expressions (DAX) for complex measure creation, time intelligence, and dynamic context manipulation.
Extensive, practical expertise in utilizing Power Query (M language) is strictly required for the purpose of executing robust data ingestion, intricate data transformations, cleansing procedures, and optimal query folding techniques.
A strong, foundational command of SQL is imperative, enabling the developer to efficiently write complex queries, manage relational database interactions, optimize data extraction processes, and understand backend data structures intimately.
Familiarity and hands-on capability with a variety of modern analytics tooling and contemporary data platform ecosystems are highly anticipated, ensuring the candidate can operate seamlessly within a modern, cloud-centric data architecture.
The role demands a deeply ingrained, thorough understanding of advanced dimensional modeling techniques, including absolute fluency in designing, implementing, and optimizing star schemas and snowflake schemas.
Candidates must possess a nuanced comprehension of analytical design patterns and broader, platform-agnostic business intelligence concepts that dictate how data should be structured for maximum analytical impact and rapid retrieval.
A critical prerequisite is a demonstrable history of intentionally building highly reusable analytical assets, automated data pipelines, and scalable models, demonstrating a clear philosophical shift away from generating isolated, one-off, disposable reports.
The applicant must showcase a highly refined, analytical ability to listen to abstract, complex business problems and effectively translate these often-ambiguous requirements into highly scalable, robust, and technically elegant analytical solutions.
A deep, practical understanding of sophisticated KPI design methodologies, comprehensive metric lifecycle management, and the strict principles governing reporting data governance is absolutely essential to maintain data integrity.
Candidates must bring proven, battle-tested experience in working efficiently with exceptionally large, complex datasets, demonstrating the ability to navigate high volumes of data without compromising system performance or report rendering times.
This includes a deep knowledge of analytical performance optimization strategies, such as managing data refresh cycles, optimizing DAX execution times, and configuring appropriate aggregation strategies.
Explicit familiarity with Microsoft Fabric, its underlying unified architecture, its semantic modeling capabilities, and its role in modern, integrated data platform concepts is highly desired and considered a significant advantage.
Exceptional, crystal-clear communication skills are a non-negotiable requirement, as the role mandates the ability to translate highly technical data concepts into accessible, actionable business language for non-technical leadership.
The candidate must prove their ability to work harmoniously, persuasively, and effectively with both deeply technical engineering teams and purely strategic business stakeholders, acting as the ultimate bridge between the two domains.
Finally, the ideal candidate must be highly comfortable, adaptable, and proactive when operating within complex organizational environments that are actively undergoing the challenging transition from legacy, traditional reporting methodologies toward modern, decentralized data products and robust self-service analytics ecosystems.
Additional info
The artifacts and deliverables associated with this position are highly critical and include the deployment of polished, intuitively designed Power BI dashboards and robust analytical applications tailored for diverse user personas.
You will be expected to continuously deliver highly reusable semantic models and meticulously governed datasets that serve as the foundational layer for all enterprise-wide reporting initiatives.
The output will consistently involve the creation of comprehensive KPI frameworks, the standardization of core business measures, and the rigorous documentation of all business metric definitions to ensure absolute organizational alignment.
You will be responsible for defining, documenting, and enforcing strict reporting standards and highly standardized analytical templates that will be utilized by various departments to maintain a cohesive visual and functional identity.
Detailed, exhaustive documentation of all underlying business logic, intricate mathematical calculations, and foundational reporting assumptions is an expected, mandatory deliverable to ensure complete transparency and traceability of all insights.
You will regularly generate and present comprehensive performance optimization recommendations and detailed analytical health metrics to ensure the ongoing stability, speed, and reliability of the reporting infrastructure.
The creation of self-service analytics enablement assets, including training materials, data dictionaries, and guided exploration paths, will be a crucial deliverable to empower business users and reduce the dependency on the core analytics team.
Strategic recommendations aimed at the aggressive simplification, consolidation, and standardization of the overall reporting environment will be expected on a continuous basis.
The company’s approach to analytics heavily prioritizes the strategic creation of highly reusable, scalable analytical assets over the operational maintenance of reactive, fragmented report factories.
A core philosophical pillar of the team is that every business definition, logic sequence, and calculation must exist exclusively in one central location and be universally reused everywhere, absolutely eliminating logic duplication.
It is mandated that all reporting outputs must be exclusively powered by officially governed data products and heavily vetted semantic models to guarantee unwavering data trust across the enterprise.
The overarching goal is that analytics must actively, demonstrably support immediate operational decision-making, drive workflow automation, and flawlessly prepare the data landscape for future AI-driven operational enhancements.
The internal team intensely focuses on architecting scalable, enduring analytical capabilities rather than expending resources responding to an endless, unmanageable queue of bespoke, ad-hoc reporting requests.
This role fundamentally matters because as the organization aggressively expands its data footprint, automation initiatives, and AI integrations, the analytics function must evolve far beyond isolated dashboards and siloed, duplicated reporting logic.
Without the establishment of trusted semantic models and heavily reusable analytical assets, enterprise decision-making inevitably becomes dangerously fragmented, and self-service analytics becomes functionally impossible to scale safely.
This specific position is the critical linchpin ensuring that raw enterprise data products are successfully, accurately transformed into consistent, implicitly trusted, and highly actionable insights.
These meticulously crafted insights will directly support daily users, empower operational teams on the ground, and fuel the highly complex, AI-driven decision-making algorithms that will govern the future of the organization.
By joining this truly global, highly interconnected team, you are entering a dynamic, extraordinarily international work environment where expectations of high performance are directly married to a profound sense of real-world purpose and impact.
The organization takes immense, justifiable pride in being officially Great Place to Work-certified, a testament to its supportive culture, and takes even greater pride in the exceptional caliber of the people who make such an achievement possible.
This is a unique, powerful opportunity to actively, fundamentally shape the digital future of the global procurement industry, working collaboratively to create, lead, and make an undeniable, lasting impact on the world stage.
Please be strictly advised that applications, resumes, or candidate profiles sent, forwarded, or uploaded by third-party placement agencies, recruitment firms, or similar entities are highly undesired by the organization.
Such agency-submitted applications will absolutely not be considered under any circumstances, will not enter the review pipeline.
Please click here to apply.
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