Position:
Data Analyst
Company:
Aumni Techworks
Location:
Pune, India
Job type:
Full Time
Job mode:
Onsite
Job requisition id:
Not Applicable
Years of experience:
0-2 Years
Company description
Aumni Techworks stands as a premier collaborator for multinational corporations, specializing in the incubation and management of high-performing remote teams within the Indian landscape.
Since its inception in 2016, the organization has pioneered the AumniBOT model, which focuses on sustainable team building rather than traditional, project-based outsourcing.
The company boasts a robust workforce of over 250 dedicated professionals and continues to expand its footprint in the technology and data sectors.
Mission-driven and quality-focused, Aumni Techworks provides its partners with an authentic extension of their global operations, ensuring seamless integration across borders.
The firm is renowned for its exceptional corporate culture, having been recognized by local media outlets like the Pune Mirror for fostering one of the best work environments in the region.
Employees at Aumni Techworks benefit from a flat hierarchy that encourages every team member to voice their opinions and contribute to major product decisions.
The company emphasizes a "no politics" atmosphere, ensuring that meritocracy and transparency remain the core pillars of professional growth.
Beyond professional development, the organization prioritizes employee well-being through health-focused initiatives such as AumniFit and comprehensive insurance coverage.
The office environment is designed to be vibrant and engaging, featuring numerous breakout spaces equipped with gyms, pool tables, and table tennis to encourage social interaction.
Regular social events, including Friday gatherings and seasonal picnics, help maintain a cohesive and motivated team spirit that mirrors the energy of a campus lifestyle.
Profile overview:
The Data Analyst role at Aumni Techworks is a multifaceted position designed for an ambitious individual looking to bridge the gap between development and operations.
This position requires a candidate who can operate effectively across multiple environments, collaborating with various stakeholders to maintain data integrity.
As a core member of the product development team, the analyst will be responsible for managing large datasets that drive critical business decisions for global clients.
The role involves a deep dive into the lifecycle of data, from initial filtering and "cleaning" to sophisticated normalization and mapping processes.
Ideal candidates are those who possess a strong analytical mindset and the ability to identify subtle patterns or outliers within complex information structures.
The position offers a unique opportunity to learn from senior team members while taking ownership of data-driven reports and client-facing samples.
Successful applicants will act as a vital link between internal groups, ensuring that platform features are rigorously tested and data is consistently refreshed.
The role demands a high level of organizational skill and the ability to multitask in a fast-paced environment where urgency is often a requirement.
Candidates will be expected to utilize their financial background to interpret pricing and reference data with a high degree of accuracy.
This is an entry-level to junior position that promises immense growth, global exposure, and the chance to work with cutting-edge technology in the financial data domain.
Qualifications:
Applicants must hold a Bachelor’s degree in Business Administration (BBA), Commerce (B.COM), or an equivalent degree with a strong emphasis on finance.
The educational background should demonstrate a solid understanding of financial principles, which is essential for managing the specific datasets handled by the team.
Professional experience ranging from 0 to 2 years in a business or office environment is required, making this an ideal path for recent graduates.
A high level of proficiency in Microsoft Excel is mandatory, as it serves as a primary tool for data manipulation and reporting tasks.
Candidates must display a proven ability to analyze large datasets and extract meaningful insights that contribute to product improvement.
Strong communication skills, both written and verbal, are necessary for liaising with stakeholders and producing clear, concise reports.
Exceptional administrative and organizational abilities are required to manage the reference database and ensure data mapping is executed correctly.
The ability to work independently is crucial, alongside a demonstrated capacity for being a proactive and collaborative team player.
Familiarity with financial technology firms or exposure to Fixed Income markets, specifically Corporate or Municipal bonds, is highly preferred.
Technical skills in SQL, Python, or PowerBI are considered a significant advantage, allowing the analyst to automate processes and create advanced visualizations.
Additional info:
Joining Aumni Techworks means becoming part of a product-focused team that offers some of the most competitive compensation packages in the industry.
The company culture is specifically designed to eliminate the stressors of traditional corporate life, offering a "fun college days" vibe that promotes creativity.
Employees enjoy extensive health benefits, including full insurance coverage and daily fitness challenges like the "4 PM plank" to stay active.
The workspace is highly interactive, featuring dedicated areas for Foosball, TT, and Carrom to help team members decompress during the day.
Global exposure is a key benefit, as analysts work directly with multinational clients and participate in international-scale product development.
Professional growth is supported by a lack of "bench" time, meaning every employee is actively engaged in meaningful work from day one.
Frequent social activities such as dance classes, theme parties, and monsoon picnics ensure that the work-life balance remains heavily skewed toward positivity.
The organization values diversity of thought and provides a platform where even junior analysts can influence the direction of platform features.
The location in Pune offers a thriving tech hub environment, providing ample opportunities for networking and career advancement in the fintech space.
This role is particularly suited for those who thrive in high-energy settings and are eager to apply their financial knowledge to real-world technical challenges.
Deep Dive into Data Analysis Responsibilities
The primary focus of this role is the meticulous management of internal reports to ensure that pricing data remains accurate and actionable.
Analysts are tasked with the "cleaning" process, which involves identifying errors, removing duplicates, and ensuring that the data adheres to standardized formats.
Normalization is a critical sub-task, where the analyst must adjust values to a common scale to allow for accurate comparison across different datasets.
Mapping data involves creating links between different data points to ensure that the reference database is comprehensive and interconnected.
Identifying outliers is one of the most intellectually stimulating aspects of the job, requiring the analyst to investigate why certain data points deviate from the norm.
These outliers often provide insights into potential system bugs or emerging market trends that can be used to refine Aumni’s product offerings.
Reporting is not just about numbers; it involves creating narrative-driven samples that help clients understand the underlying value of the data provided.
Regular testing of platform features is required to ensure that the data pipeline remains robust as the company scales its operations.
Interaction with the senior members of the team provides a continuous learning loop, where junior analysts receive feedback on their methodologies.
The role requires a constant pulse on the internal data flow, ensuring that any integrity concerns are flagged and resolved before they impact the client.
Tactical Execution and Workflow
Daily operations involve navigating a variety of internal software environments to track the health of data ingestion and processing.
The analyst must prioritize tasks based on the urgency of client needs, often shifting focus between long-term database maintenance and immediate report generation.
Collaborative sessions with the development team are common, where the analyst provides the "data perspective" on new feature implementations.
Documentation is a key component of the workflow, as every change made to the mapping or normalization logic must be recorded for audit purposes.
Using Microsoft Excel, the analyst will build complex formulas and pivot tables to summarize findings for stakeholders who may not have a technical background.
The role also involves a degree of troubleshooting, where the analyst must trace the source of a data discrepancy back through the ingestion pipeline.
Success in this role is measured by the reduction of data errors and the increase in the speed at which data-driven insights are delivered to clients.
Team members are encouraged to experiment with new ways to automate repetitive "cleaning" tasks, potentially using SQL or Python scripts.
Feedback from clients is often funneled back to the analyst, who uses that information to adjust the parameters of future data samples.
Maintaining a high level of detail-orientation is the only way to ensure that the reference database remains the "single source of truth" for the organization.
Technical Skill Application
While Excel is the baseline, the role serves as a gateway to more advanced data science tools and methodologies.
Understanding the structure of a reference database is essential for any aspiring data scientist or high-level analyst.
Mapping logic requires a strong grasp of relational database concepts, even if the primary interface used is a spreadsheet.
The analyst will learn how to structure queries that can pull specific subsets of information from massive, multi-million row datasets.
Exposure to financial technology means learning the specific language of bonds, yields, and pricing models that define the global economy.
Using PowerBI, the analyst can transform raw data into visual dashboards that provide a real-time look at data integrity metrics.
Python knowledge is applied to parse through unstructured data sources, making it easier to "enrich" the database with external information.
SQL skills allow for more direct interaction with the back-end systems, reducing the reliance on manual exports and imports.
The analyst will gain a deep understanding of the "AumniBOT" model and how it facilitates the integration of Indian talent into global tech stacks.
Continuous education is part of the culture, with many analysts moving on to specialize in data engineering or financial modeling within the company.
Career Trajectory and Growth
Starting as a Data Analyst at Aumni Techworks provides a solid foundation for a variety of roles in the burgeoning fintech sector.
Within the first year, an analyst typically moves from supervised data cleaning to independent project management and complex reporting.
The flat hierarchy means that high performers are often given the chance to lead small sub-teams or take charge of a specific client account.
Many analysts transition into "Product Analyst" roles, where they use their data insights to suggest actual code changes and UI/UX improvements.
The exposure to multinational clients prepares the individual for a career that could span across different global offices or industries.
Because the company is growing so rapidly, there are constant openings for senior analyst positions and lead data architect roles.
Professional branding is encouraged, with the company supporting employees who wish to share their insights on platforms like LinkedIn.
The skills gained in analyzing Fixed Income markets are highly transferable and in high demand among investment banks and hedge funds.
Aumni Techworks serves as an incubator for talent, meaning they invest heavily in the training and development of their "fresher" intake.
Alumni of the company often cite the combination of technical training and cultural empowerment as the highlight of their tenure.
Environmental and Cultural Perks
The Pune office is more than just a place of work; it is a community hub designed to support the physical and mental health of its occupants.
The "Best Culture" award isn't just a trophy on the wall—it’s reflected in the daily interactions and the high level of employee retention.
Friday socials are legendary within the local tech scene, providing a space for networking and relaxation after a productive week.
The monsoon picnics and theme parties are designed to break the monotony of the standard work cycle and spark creative thinking.
Access to a gym and table sports during the workday allows for "active breaks" that have been proven to increase long-term productivity.
The focus on "AumniFit" highlights the company's commitment to ensuring that its employees don't just grow professionally, but also stay healthy.
A flat hierarchy ensures that the CEO's door is always open, and even the newest hire can suggest a change to the company's workflow.
Working within a product-focused team means you are building something that has a lasting impact, rather than just completing tickets for a client.
The "no bench" policy ensures that every individual feels valued and necessary to the success of the overarching mission.
Overall, the position at Aumni Techworks offers a perfect blend of rigorous technical work and a supportive, high-energy social environment.
Final Synthesis of the Role
To succeed in this position, one must be as comfortable with a spreadsheet as they are with a foosball table.
The Data Analyst is the guardian of the company's most valuable asset: its information.
Every report generated and every row cleaned contributes to the global reputation of Aumni Techworks.
The intersection of finance and technology (FinTech) is where the most interesting problems are being solved today.
This role provides the "front-row seat" to that innovation, allowing a fresher to see how global markets move through the lens of data.
Passion for accuracy and a curiosity about "the story behind the numbers" are the hallmarks of the ideal candidate.
If you are a BBA or B.COM graduate looking to jumpstart a career in data science, this is the environment that will nurture that ambition.
The balance of autonomy and mentorship ensures that you are never left struggling but are always being challenged to grow.
By the end of a tenure in this role, an analyst will have transformed from a student of finance into a professional of data.
Aumni Techworks is not just hiring an employee; they are looking for a future leader who will grow alongside the company's expanding global footprint.
Please click here to apply.
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