myKaarma is hiring for an fresher entry level Data Analyst role in India

Position:

• Data Analyst role focused on supporting product decision making through structured data work

• A position that contributes to reporting, metric interpretation, and insight generation across the product function

• A role suited for someone who enjoys uncovering patterns, creating meaningful reports, and helping various teams understand performance data

• A position designed for someone who wants to develop stronger analytical judgment in a growing automotive focused SaaS environment

Company:

• myKaarma, a company that creates software systems for automotive service centers

• A business focused on improving communication, payment experiences, and workflow clarity for car dealerships

• A team that blends software, operational thinking, and service design

• A company that values curiosity, careful examination of information, and a mindset that supports continuous progress across teams

Location:

• Noida, Uttar Pradesh, India

• Work takes place in a hybrid model with attendance required for selected days

• Collaboration expected across global teams operating from Long Beach and various international locations

• Environment suited for candidates comfortable working with distributed teams

Job type:

• Full time position

• Regular working hours with collaboration across departments

• Stable schedule with flexibility due to hybrid operations

• Long term role inside the product function

Job mode:

• Hybrid structure with a mix of remote days and office days

• Interaction with cross functional team members during in office sessions

• Flexibility offered through a performance oriented culture

• Suitable for individuals who enjoy both independent analysis and teamwork

Job requisition id:

• Not provided in the original description, so this may be updated by the employer later

• Candidates can treat this as an open role without a published requisition number

• The identifier may appear during internal processing by the recruitment team

• Applicants should not be concerned if this field appears blank during submission

Years of experience:

• Open to freshers and early career applicants

• People with a basic foundation in data analysis can apply

• Experience band suitable for those at an introductory or junior level

• Candidates with some exposure to analytical tools will benefit but the role still welcomes beginners

---

Company description:

• myKaarma is a software company focused on improving the daily work of automotive service departments. The organization creates tools that allow dealership teams to communicate with car owners, handle scheduling, manage transactions, and keep records in a structured format. The system is built to bring convenience to both service representatives and customers. The team spreads across several regions and works together to maintain a dependable product used by many dealerships.

• The company follows principles inspired by the Toyota Production System. This approach supports clarity in workflow, faster issue resolution, and a focus on incremental progress. The business encourages team members to contribute new ideas that improve operational quality. myKaarma wants to bring smoother service journeys to dealership clients and aims to build tools that make maintenance conversations simple and transparent for everyone involved.

---

Profile overview:

• The Data Analyst contributes to the product team by studying product usage data, operational metrics, and customer behavior patterns. The person in this role interprets datasets, creates dashboards, and supports teams by offering clear explanations of trends. This helps internal teams refine features, improve communication flows, and understand customer activity.

• The role requires someone who is open minded, curious about data behavior, and confident working with numbers. The analyst regularly validates data integrity, checks for unusual movements in metrics, and explores potential reasons behind such changes. This work informs the product roadmap, supports adoption efforts led by the customer success team, and shapes conversations with the engineering team. The analyst also contributes to creating documentation for metric definitions and assists in building a structured approach to data usage across the company.

---

Qualifications:

• Ability to work with datasets and examine them from multiple angles

• Skill in using SQL and related tools for data extraction

• Ability to interpret correlation studies, statistical evaluations, and numerical relationships

• Skill in creating dashboards with tools that offer strong visualization capability

• Comfort working across departments including customer success, engineering, sales, and product

• Ability to assess the reliability of reports, identify inconsistencies, and fix them

• Strength in explaining insights in simple language for different audiences

• Familiarity with analytical thinking that supports meaningful decisions even when information is complex

• Understanding of how operational processes affect data flow and product usage patterns

• Capacity to maintain documentation, clarify definitions, and help teammates follow consistent methods

---

Additional info:

• The role welcomes candidates from mixed academic and professional backgrounds. myKaarma encourages individuals who enjoy analytical thinking even if they do not meet every listed point.

• The company provides a range of employee benefits including wellness programs, medical coverage, vacation time, and in office perks. The environment supports flexibility and encourages a balance between focus and independence.

• The firm promotes a culture based on respect, fairness, and inclusion. Team members come from multiple regions and represent different cultures and experiences. Leaders support the creation of a space where everyone feels appreciated and heard.

• As an equal opportunity employer, the organization discourages discrimination of any kind. Practices follow guidelines that protect employees based on various characteristics, and the workplace encourages open communication and collaboration at all levels.

---

Extended Role Narrative and Responsibilities:

Core analytical contribution

• You will support the product function by studying product usage information, dealership behavior, and internal operational metrics

• You will create dashboards that summarize how various features perform across different dealership groups

• You will take raw datasets and turn them into clean structured information so that teams can rely on them during decision making

• You will review the integrity of collected information and confirm that each metric aligns with its intended definition

• You will handle regular audits of reports to ensure nothing drifts away from expected values

• You will conduct checks on data pipelines and investigate any strange movement in numbers, such as sudden drops or unexpected spikes

• You will be responsible for verifying that internal and external reports are reliable and reflect accurate behavior

• You will validate extracted datasets using SQL queries and checks that confirm whether the pull aligns with the expected logic

• You will look for relationships among variables and understand which elements influence specific outcomes

• You will be trusted to explore datasets independently, especially when unusual activity suggests the presence of a deeper insight

Collaboration with internal teams

• You will regularly coordinate with the product team to understand which performance indicators matter most for upcoming feature evaluations

• You will work with engineering teams to automate report creation, reduce repeated manual work, and streamline existing data practices

• You will partner with customer success teams to understand which dealership patterns require more explanation

• You will assist sales teams by providing structured information that helps them better describe the value of the platform

• You will contribute context during strategy discussions where the organization studies how different dealerships adopt workflows

• You will discuss findings with cross functional partners who rely on your work to guide customer conversations

• You will assist teams by showing what drives user engagement inside the platform

• You will participate in discussions that help refine product updates and feature revisions

Data exploration and study of patterns

• You will study long term behavior of dealerships that use the product and compare them with newer clients

• You will run checks on usage cycles and interpret how frequently dealerships interact with the platform

• You will investigate patterns that may indicate friction or difficulty in using selected workflows

• You will study time based patterns to identify seasonal behaviors or monthly variations

• You will explore data segments that show how different roles inside dealerships interact with the platform

• You will use statistical tools to understand how one metric relates to another, such as workflow completion rates and customer retention scores

• You will perform correlation checks, evaluate significance, and validate whether relationships remain consistent over multiple datasets

• You will examine anomalies that may point to issues in product design or operational flow

Dashboard and report development

• You will design dashboards that summarize major metrics for leadership teams

• You will build views that help product managers evaluate how recent updates impact behavior

• You will prepare charts for customer success teams that reflect dealership performance

• You will create segmented dashboards for internal use so that team members can explore specific customer groups

• You will create visual summaries that combine multiple metrics into one structured view

• You will develop reports that highlight month over month changes

• You will create dashboards that track long term adoption trends

• You will tune metrics to match evolving product goals

• You will maintain consistency in naming, formatting, and metric design

Documentation and standardization

• You will document each metric so that all teams have clarity on what numbers represent

• You will maintain definitions for dashboards so that interpretation remains consistent over time

• You will write explanations for data sources and their intended use

• You will help standardize terminology so that departments use uniform vocabulary

• You will build reference guides for repeated processes

• You will help develop a shared understanding of product usage metrics

Cultural contribution

• You will contribute to a culture that encourages transparent conversations based on data

• You will help teammates improve their understanding of analysis practices

• You will participate in discussions that promote curiosity and logical examination of facts

• You will share new approaches, tools, and ideas that improve the company’s analytical capabilities

• You will model thoughtful inquiry and structured problem solving

---

Skills and Qualifications Expanded:

Statistical capability

• Strong comfort with statistical reasoning

• Ability to run tests that examine relationships between variables

• Understanding of significance, variance, distribution behavior, and basic experimental reasoning

• Ability to calculate correlation values and interpret whether they indicate meaningful relationships

• Practical sense of when a pattern is actionable and when it needs deeper investigation

Data extraction and transformation

• Experience querying datasets using SQL

• Ability to write validated queries that reduce errors

• Comfort managing large datasets and filtering them to reveal meaningful sections

• Familiarity with BigQuery or similar cloud based analytical engines

• Ability to design queries that improve performance and reduce unnecessary processing time

Dashboard and visualization capability

• Familiarity with dashboarding tools

• Ability to take raw metrics and present them in formats that guide decision makers

• Sensibility to create visuals that reduce confusion and convey the core idea clearly

• Capability to build multi layer dashboards for different user groups

• Understanding of how to highlight key patterns through layout and choice of visual elements

Collaboration skills

• Comfort explaining analytical findings to teams that may not work with data daily

• Ability to simplify complicated observations

• Capacity to create summaries that support leadership in strategic planning

• Willingness to participate in discussions that shape product direction

• Open communication style that helps teams understand both insights and limitations

Extra abilities that help

• Some familiarity with Looker or LookML

• Understanding of the automotive service industry or dealership workflows

• Ability to navigate a domain where team members rely on your interpretation of usage data

• Appreciation for how operational behavior inside dealerships affects software usage patterns

---

Total Rewards and Work Environment Expanded:

Workplace philosophy

• The company follows a structure built around accountability and trust

• Teams are encouraged to work independently while staying aligned with common goals

• The organization promotes open conversation, thoughtful critique, and continuous progress

• The environment supports innovation and encourages ideas that simplify customer experiences

Benefits and well being

• Comprehensive medical coverage designed to support different life stages

• Access to dental, vision, and related wellness programs

• Availability of stipends for work from home arrangements and wellness activities

• Generous time off structure that supports rest and personal balance

• Dog friendly offices that create a relaxed atmosphere

• Availability of snacks and refreshments to support comfort during office days

Inclusion and community

• Organizational commitment to creating a respectful space for every individual

• Teams composed of members from various regions, professions, and cultures

• Dedication to eliminating discrimination and providing equal opportunity

• Strong encouragement for individuals from all backgrounds to contribute freely

• Compliance with regulations designed to protect employee rights

Please click here to apply.