SEO Executive

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

Data Scientist

Cubera is a data company revolutionizing big data analytics and Adtech through data share value principles wherein the users entrust their data to us. We refine the art of understanding, processing, extracting, and evaluating the data that is entrusted to us. We are a gateway for brands to increase their lead efficiency as the world moves towards web3.

What you’ll do?

• Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
• Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation, and serving.
• Research new and innovative machine learning approaches.
• Perform hands-on analysis and modeling of enormous data sets to develop insights that increase Ad Traffic and Campaign Efficacy.
• Collaborate with other data scientists, data engineers, product managers, and business stakeholders to build well-crafted, pragmatic data products.  
• Actively take on new projects and constantly try to improve the existing models and infrastructure necessary for offline and online experimentation and iteration.
• Work with your team on ambiguous problem areas in existing or new ML initiatives

What are we looking for?

• Ability to write a SQL query to pull the data you need.
• Fluency in Python and familiarity with its scientific stack such as numpy, pandas, scikit learn, matplotlib.
• Experience in Tensorflow and/or R Modelling and/or PyTorch
• Ability to understand a business problem and translate, and structure it into a data science problem. 

Job Category: Data Science

Job Type: Full Time

Job Location: Bangalore

Responsibilities:

• Writes high quality code & unit tests, builds, tests as per agreed timelines
• Participates in technical design and provides estimation
• Owns one or more small to medium features
• Becomes a go-to person in at least one area
• Communicates clearly and gets clarification upfront to minimize rework. Knows when to ask for help to unblock.
• Consistently follows and promotes SDLC best practices: Coding standard, testing, code reviews, code comments etc.
• Exhibit strong problem solving skills, helps other developers and demonstrates teamwork

Requirements:

• Understands detailed requirements and demonstrates excellent problem solving skills
• Deep understanding of software engineering practices, Design Patterns, Data Structures, Algorithms
• Excellent programming skills in ROR, Golang, NodeJS, Python
• Strong communication skills
• Strong sense of ownership, drive and ability to deliver results
• 4+ years of experience in product driven organization
• A Bachelors or Masters degree in engineering from a reputed institute
• Experience in Golang, RoR, Unity, ML or Python will be an added advantage

About Role: 

1. We are looking for a Node.js Developer responsible for managing the interchange of data between the server and the users.  
2. Your primary focus will be the development of all server-side logic, definition, and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end.  
3. You will also be responsible for integrating the front-end elements built by your co-workers into the application. A basic understanding of front-end technologies is necessary as well. 

Key Responsibilities: 

1. Integration of user-facing elements developed by front-end developers with server-side logic 
2. Writing reusable, testable, and efficient code 
3. Design and implementation of low-latency, high-availability, and performant applications 
4. Implementation of security and data protection 
5. Integration of data storage solutions such as database, caching servers 

Qualification & Skills: 

1. Strong proficiency with JavaScript and Typescript 
2. Knowledge of Node.js and frameworks available for it such as Express, StrongLoop, etc 
3. Proficient in database systems (eg. MySql, MongoDB, DynamoDB) 
4. Understanding the nature of asynchronous programming and its quirks and workarounds 
5. Basic understanding of front-end technologies, such as HTML5, and CSS3 
6. Understanding accessibility and security compliance 
7. User authentication and authorization between multiple systems, servers, and environments 
8. Integration of multiple data sources and databases into one system 
9. Understanding fundamental design principles behind a scalable application 
10. Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform 
11. Creating database schemas that represent and support business processes 
12. Implementing automated testing platforms and unit tests 
13. Proficient understanding of code versioning tools, such as Git