Director of Engineering

Job Title: Senior Data Analyst

Location: Sharnam Metrolinks, Amraiwadi, Ahmedabad

Working Days: 6 Days a Week

Department: MDO

Reporting To: COO

Employment Type: Full-Time

Job Summary

We are seeking a highly analytical and detail-oriented Senior Data Analyst to lead data management, reporting, automation, and system development initiatives across the organization.

The role focuses on transforming raw data into meaningful insights, designing and implementing automated systems, strengthening data structures, and supporting cross-functional teams with accurate, actionable intelligence to drive strategic and operational business decisions.

Key Responsibilities

1. Data Management & Reporting

● Collect, clean, validate, and consolidate data from multiple internal and external sources.

● Prepare and deliver daily, weekly, and monthly MIS reports for management and departments.

● Design, develop, and maintain dashboards to track KPIs, performance metrics, and operational trends.

2. Database & Data Accuracy Management

● Manage and regularly update internal databases, spreadsheets, and reporting systems.

● Ensure data accuracy, consistency, integrity, and confidentiality across all platforms.

● Implement best practices for data validation, version control, and audit checks.

3. Data Analysis & Business Insights

● Analyze large and complex datasets to identify trends, patterns, gaps, and anomalies.

● Translate data findings into clear, actionable insights and recommendations to support

strategic and operational decision-making.

4. Reporting Automation, System Recommendation & Implementation

● Identify opportunities to replace manual or semi-manual processes with automated, data-driven systems.

● Design and implement automated reporting frameworks, dashboards, and data pipelines using Excel (Power Query, VBA, Macros), SQL, BI tools, and Python.

● Proactively suggest new automation tools, system enhancements, or integrations to

improve efficiency, accuracy, and scalability.

● Lead the end-to-end implementation of approved automation initiatives, including requirement gathering, system design, testing, deployment, and stabilization.

● Continuously monitor and optimize automated systems in line with business growth and evolving data needs.

5. Cross-Functional Coordination & Support

● Collaborate with Sales, HR, Finance, Operations, and other departments to understand

reporting and data requirements.

● Provide support for ad-hoc analysis, custom reports, and special data requests.

● Act as a data partner to department heads for decision support and performance tracking.

6. Documentation & Compliance

● Maintain complete and updated documentation for MIS processes, reports, data models,

automation logic, and system changes.

● Ensure compliance with company data governance policies and applicable data protection standards.

System Development & Data Structuring Responsibilities

● Study and understand departmental workflows to evaluate how data is generated, processed, and utilized.

● Review existing manual and digital data systems to identify operational gaps, risks, and

mprovement opportunities.

● Recommend structured data models, reporting formats, and storage solutions aligned with

business requirements.

● Coordinate with department heads to define data structures, access levels, and reporting

standards.

● Implement new or upgraded data systems (Excel-based models, cloud platforms, ERP

integrations) with minimal operational disruption.

● Design structured data formats and role-based access controls to ensure secure and

organized data management.

● Train employees on newly implemented systems and provide post-implementation

support.

● Monitor system performance, resolve issues, and continuously improve systems based on

user feedback and organizational growth.

Qualifications & Experience

● Bachelor’s degree in Commerce, Statistics, Computer Applications, or a related field.

● 3–5 years of experience in data analytics, reporting, or system automation roles.

● Strong analytical thinking, logical reasoning, and problem-solving abilities.

● High attention to detail with excellent organizational and documentation skills.

Technical Skills (Must Have)

● Advanced Excel: Power Query, Power Pivot, VBA basics, Macros, Charts

● BI Tools: Power BI or Tableau (DAX, data modeling, dashboard optimization)

● Google Apps Script: Automation in Google Sheets, custom functions, triggers, API integrations, workflow optimization

● Vlook

Preferred Skills

● Strong verbal and written communication skills

● Ability to handle sensitive and confidential information responsibly

● Quick learner with a tech-savvy, improvement-driven, and solution-oriented mindset

Project Details:

• Task: Annotate and label 25,000 images as per defined guidelines.
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• Duration: 2 months (Immediate start)
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• Compensation: ₹10,000 per month (₹20,000 total for 2 months)
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• Location: Remote (candidates from South India also welcome)
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🖥️ Requirements:

• Personal laptop with good performance (capable of handling annotation tools)

• Stable high-speed internet connection

• Prior experience in data annotation / labeling on platforms like Freelancer, Upwork, Toloka, or RWS

Strong attention to detail and ability to meet weekly targets

We are seeking a highly skilled and motivated Data Scientist to join our team. You will be responsible for extracting insights from complex data sets, developing predictive models, and communicating findings to drive data-informed decision-making within the organization. The ideal candidate will have a strong background in statistics, machine learning, and data visualization, as well as excellent problem-solving and communication skills.

Responsibilities:

• Data Collection and Cleaning: Gather, clean, and preprocess data from various sources, ensuring data quality and integrity.
• Exploratory Data Analysis (EDA): Conduct EDA to understand data distributions, identify patterns, and uncover insights.
• Feature Engineering: Select, transform, and create relevant features to improve model performance.
• Model Development: Develop and implement machine learning models for prediction, classification, and other analytical tasks.
• Model Evaluation and Selection: Evaluate model performance using appropriate metrics and select the best model based on business requirements.
• Model Deployment and Monitoring: Deploy models into production and monitor their performance over time.

As a Kafka Administrator at Cargill you will work across the full set of data platform technologies spanning on-prem and SAS solutions empowering highly performant modern data centric solutions. Your work will play a critical role in enabling analytical insights and process efficiencies for Cargill’s diverse and complex business environments. You will work in a small team who shares your passion for building, configuring, and supporting platforms while sharing, learning and growing together.  

• Develop and recommend improvements to standard and moderately complex application support processes and procedures. 
• Review, analyze and prioritize incoming incident tickets and user requests. 
• Perform programming, configuration, testing and deployment of fixes or updates for application version releases. 
• Implement security processes to protect data integrity and ensure regulatory compliance. 
• Keep an open channel of communication with users and respond to standard and moderately complex application support requests and needs. 

MINIMUM QUALIFICATIONS

• 2-4 year of minimum experience
• Knowledge of Kafka cluster management, alerting/monitoring, and performance tuning
• Full ecosystem Kafka administration (kafka, zookeeper, kafka-rest, connect)
• Experience implementing Kerberos security
• Preferred:
• Experience in Linux system administration
• Authentication plugin experience such as basic, SSL, and Kerberos
• Production incident support including root cause analysis
• AWS EC2
• Terraform

Role/ Responsibilities

• Lead a team of hard working backend developers. 
• Design APIs, DB, Queues, monitoring for micro services. 
• Writing, deploying and managing micro services. 
• Migrate existing components into distributed micro service architecture. 
• AWS Cloud / Google Cloud Platform (Manage Infrastructure). 
• API integration with 3rd parties. 
• Unit test cases, automation. 
• Database optimisation. 
• Design of highly concurrent backend architecture. 
• Handling high traffic data. 

Experience required: 

• Sound fundamentails in software design. 
• Must have worked on distributed and micro service architecture. 
• Sound fundamentals on scale/ performance/ memory optimisation. 
• Sound fundamentals of authentication, authorization, payment processes, data security. 
• Must have experience in Spring / Spring boot. 
• Good to have experience in Kafka / JMS / RabbitMQ / AWS Elastic queue. 
• Good to have experience in Junit / mockito unit test cases. 
• Good to have knowledge in Mysql (or any RDBMS). 

Must possess strong customer service skills

Excellent written and verbal communication

Must have good negotiation skills and must be able to create good presentations

Must have excellent interpersonal skills and must be detail-oriented and an active listener

Ability to work under pressure

Should have your own laptop / Vehicle Ability to think pro-actively to attain the task assigned. Employee support is highly required to stay a long period with the company.

A passion for sales & willing to visit the client's place on a daily basis.

Be ready to take a survey of the project by home.

Daily visit a minimum of 25 outlets and 25 home visits Explaining product benefits