EnKash is hiring for an FRESHER entry level Data Analyst role in India

Position:

• Data Analyst

Company:

• EnKash

Location:

• Pune City, Maharashtra, India

Job type:

• Full-time employment opportunity

Job mode:

• On-site work model

Job requisition id:

• Not explicitly specified / Internal tracking reference

Years of experience:

• 0 to 1 year of professional experience, welcoming talented freshers with robust academic backgrounds, internships, or practical analytical projects

Company description

• EnKash operates as a premier B2B fintech enterprise that is fundamentally transforming the landscape of corporate spend management and digital business payments.

• The organization delivers an all-encompassing, unified software platform specifically designed to handle corporate payables, receivables, business credit cards, and comprehensive expense workflows.

• Supported by critical regulatory licenses issued by the Reserve Bank of India, including Payment Aggregator, Prepaid Payment Instrument Issuer, and Bharat Bill Payment Operating Unit authorizations, EnKash empowers commercial entities to streamline financial administration with absolute compliance and rigorous internal controls.

• By replacing fragmented legacy tools and manual administrative burdens with real-time operational visibility and automated governance, the company enables Chief Financial Officers, Chief Executive Officers, and corporate finance departments to execute rapid, data-backed financial decisions.

• The corporate infrastructure supports an expansive suite of modular financial products ranging from secure payment gateways handling UPI, cards, and net banking to corporate credit cards featuring real-time limit controls and centralized tracking mechanisms.

• Additional proprietary product lines include prepaid card programs tailored for employee allowances, incentives, fleet management, and operational expenses, alongside automated business utility bill payment systems and rewards frameworks.

• Since its inception in 2018, EnKash has successfully catered to thousands of businesses across India, issuing over one million corporate cards and processing millions of high-value commercial transactions securely.

• Backed by prominent venture capital investors and established strategic partners, the organization continues to pioneer scalable, transparent, and fully automated business finance architectures.

• The internal corporate culture champions high operational ownership, continuous learning, cross-functional collaboration, and direct exposure to cutting-edge financial technology ecosystems.

• Employees benefit from a dynamic work environment characterized by rapid company growth, active employee expansion metrics, and continuous opportunities for professional skill development.

Profile overview:

• The organization is actively seeking a highly meticulous, intellectually curious, and analytically driven Data Analyst to integrate directly into the core Product team.

• This position functions as a specialized product-aligned analytical role that extends far beyond routine, repetitive reporting tasks to actively leverage enterprise data for decoding product performance and customer journeys.

• Primary professional responsibilities revolve around investigating user behavior patterns, transactional velocity, conversion funnels, adoption bottlenecks, and strategic optimization opportunities across digital payment workflows.

• The incumbent will be responsible for executing rigorous data extraction, cleaning, validation, and advanced exploratory analysis across massive streams of product, customer, transactional, and operational datasets.

• A core expectation of the role involves designing, building, and maintaining sophisticated executive dashboards, management information system reports, and performance trackers that capture vital product indicators.

• The analyst will continuously monitor feature adoption metrics, user engagement frequencies, drop-off stages in conversion pipelines, and macro transaction trends to diagnose underlying operational anomalies.

• Close collaboration with Product Managers is required to supply data-driven narratives, empirical insights, and quantitative justification for product reviews, feature prioritization roadmaps, and strategic decision-making.

• The role demands the capability to uncover hidden structural gaps, market trends, and performance improvement opportunities through structured root-cause analysis and statistical evaluation.

• The professional will systematically measure, evaluate, and report the quantifiable business impact of new product releases, iterative feature enhancements, and underlying operational workflow modifications.

• Effective communication channels must be established and maintained with cross-functional partners across Product, Technology, Engineering, and Operations departments to align data definitions and guarantee uncompromising accuracy.

• Complex business inquiries and product hypotheses must be translated into clear, digestible analytical frameworks that communicate actionable recommendations to both technical and non-technical stakeholders.

• The candidate will gain deep domain expertise in digital fintech ecosystems, gaining direct exposure to payment gateway infrastructures, corporate spend management metrics, and lifecycle product analytics.

Qualifications:

• Candidates must possess a recognized Bachelor’s degree in any core Engineering discipline, or specialized academic training in Statistics, Mathematics, Business Analytics, Computer Science, Economics, or closely related quantitative fields.

• Applications are welcomed from fresh graduates who demonstrate exceptional academic credentials, relevant internship experience, substantial college analytics projects, or proven hands-on exposure to data manipulation techniques.

• A solid working command of Structured Query Language is required for querying relational databases, executing complex joins, aggregating metrics, and extracting targeted datasets efficiently.

• Exceptional proficiency in advanced Microsoft Excel and Google Sheets is mandatory, encompassing pivot tables, VLOOKUP/XLOOKUP functions, conditional formatting, data modeling, and automated spreadsheet reporting.

• Demonstrated familiarity with modern industry-standard data visualization and business intelligence platforms such as Microsoft Power BI, Tableau, Looker Studio, or comparable dashboarding utilities is essential.

• A foundational understanding of data cleansing methodologies, exploratory data analysis, metric interpretation, dashboard architecture, and professional reporting standards must be clearly exhibited.

• Exceptional numerical aptitude, rigorous logical reasoning, advanced problem-solving capabilities, and an uncompromising attention to detail are vital attributes for success in this capacity.

• The ability to distill complex analytical findings into crystal-clear insights and present them persuasively to diverse technical engineering teams and business stakeholders is required.

• A genuine passion for and deep intellectual curiosity regarding digital consumer products, user journey mapping, financial technology innovations, and modern payment infrastructures is highly preferred.

• Working knowledge of programming languages such as Python or R for statistical analysis, scripting, and data automation will be considered a significant competitive advantage during evaluation.

Additional info:

• Joining the EnKash ecosystem provides a rare springboard into a rapidly expanding, high-growth B2B fintech sector that is actively redefining enterprise financial operations nationwide.

• Team members secure direct, unfiltered exposure to core product analytics, customer behavioral psychology, and high-impact, data-driven executive decision-making processes from day one.

• The role offers continuous hands-on learning opportunities spanning modern payment products, high-frequency transaction analysis, dynamic dashboard creation, and key product performance metrics.

• Professionals benefit from a structured career growth trajectory designed to foster complete ownership of product insights, positioning the individual as a foundational pillar within the overarching Product department.

• The company maintains a collaborative, transparent, and high-ownership work culture where individual contributions directly shape product milestones and enterprise scalability.

• Employees operate alongside talented peers, engineering leaders, and fintech veterans from premier institutions, fostering an environment of accelerated professional growth and intellectual stimulation.

• The organization values proactive problem solvers who exhibit a strong bias for action, intellectual rigor, and a relentless drive to optimize financial technology workflows.

• Comprehensive onboarding and mentorship structures are established to support incoming analysts in mastering internal data pipelines, database schemas, and product architecture.

• Career advancement pathways encourage continuous upskilling, cross-departmental exposure, and leadership readiness within the rapidly scaling financial services landscape.

Please click here to apply.