Sales engineer

Job Summary

The Data Analyst is required to Data capture, data cleaning, data preparation, data management and data analysis and interpretations required by the Business. Handle data factory with precision and confidentiality. The role is crucial for providing actionable insights to improve teaching quality, enhance student performance, optimize business operations, and drive growth.

Essential Job Responsibilities:

Academic Data Analysis

·       Analyze student performance data from internal assessments, mock tests, and board exams.

·       Identify trends in subject-wise performance, batch-wise progress, and dropout patterns.

·       Generate reports to assist academic heads in making data-driven interventions.

·       Predict outcomes of upcoming competitive exams (JEE/NEET) based on historical data.

Business & Marketing Intelligence

·       Monitor enrollment trends, inquiry-to-admission conversions, and campaign ROI.

·       Provide insights into market behavior, location-wise performance, and competitor benchmarking.

·       Analyze fee structures, discounts, and scholarship schemes for profitability and optimization.

Operational & Centre Efficiency

·       Evaluate the performance of branches/centres using KPIs like retention rate, attendance, student satisfaction, and staff productivity.

·       Support planning for new center openings with predictive enrollment data and location-based analytics.

Technology & Automation

·       Build and maintain dashboards using BI tools (Power BI, Tableau, Excel, Google Data Studio).

·       Work closely with IT or CRM teams to ensure data accuracy and integrity across systems.

·       Automate regular reporting processes to reduce manual workload.

Strategic Decision Support

·       Support senior management with forecasting models, statistical reports, and scenario simulations.

·       Present insights in the form of structured reports, visual dashboards, or presentations.

Supervisory Responsibilities

Number of subordinate supervisors reporting to this job

N/A

Total number of employees supervised; include those directly supervised and those supervised through subordinate supervisors

N/A

Job Qualifications: 

Education

·       Bachelor’s or Master’s degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or related field.

Experience

·       Must be a highly-skilled with 3+ years of experience.

·       Demonstrate ability to successfully process all work types

Knowledge / Skills

·       Analytical skills & Critical Thinking

·       Data Visualization

·       Microsoft Excel, VBA, R , Python, Tableau, Power BI

·       Efficient in AI powered Data analysis tools

Licenses / Certifications

·       Data Analytics desirable

Working Conditions:

Virtual environment, extended length of time in sitting position, medium stress environment

Physical Demands:

N/A

We are seeking a highly experienced freelance SEO specialist to scale our organic presence globally.

You will be responsible for auditing, strategizing, and executing SEO campaigns across our web platforms. Prior client work with measurable success is a must.

Key Responsibilities:

• Conduct comprehensive SEO audits
• Create and implement on-page, off-page, and technical SEO strategies
• Drive organic traffic growth through keyword optimization and backlink strategies
• Use tools like Ahrefs, SEMrush, GSC, GA4, etc.
• Track, analyze, and report performance metrics

Requirements:

• 1+ years of proven freelance SEO experience
• Prior experience with international clients (preferred)
• Strong communication and reporting skills
• Ability to work independently and meet targets
• Worked With Clients From UK, India, UAE, Nigeria, Kenya, Indonesia, etc.
• Bonus If You’ve Worked With Clients From US.(Preferred)

Must-Have Skills:

• Technical SEO
• Keyword Research & Targeting
• On-Page SEO Optimization
• High-Quality Backlink Building
• Content Strategy & Optimization
• Google Search Console
• Google Analytics (GA4)
• Ahrefs / SEMrush
• Internal Linking Strategy
• Schema Markup / Structured Data

Compensation:

₹6 – ₹12 LPA (project-based or monthly retainer; negotiable based on experience)

Location:

Remote | Freelance

How to Apply:

Send your portfolio, case studies, and client references via Cutshort.

Position Overview:

We are seeking a highly motivated and skilled Real-World Evidence (RWE) Analyst to join growing team. The successful candidate will be instrumental in generating crucial insights from real-world healthcare data to inform decision-making, improve patient outcomes, and advance medical understanding. This role offers an exciting opportunity to work with diverse healthcare datasets and contribute to impactful research that drives real-world change.

Key Responsibilities:

For Both RWE Analyst (Junior) & Senior RWE Analyst:

• Data Expertise: Work extensively with real-world healthcare data, including Electronic Medical Records (EMR), claims data, and/or patient registries. (Experience with clinical trial data does not fulfill this requirement.)
• Methodology: Apply appropriate statistical and epidemiological methodologies to analyze complex healthcare datasets.
• Communication: Clearly communicate findings through presentations, reports, and data visualizations to both technical and non-technical audiences.
• Collaboration: Collaborate effectively with cross-functional teams, including clinicians, epidemiologists, statisticians, and data scientists.
• Quality Assurance: Ensure the accuracy, reliability, and validity of all analyses and reports.
• Ethical Conduct: Adhere to all relevant data privacy regulations and ethical guidelines in real-world data research.

Specific Responsibilities for RWE Analyst (Junior):

• Perform statistical analysis on real-world healthcare datasets under guidance.
• Contribute to the development of analysis plans, often by implementing predefined methodologies or refining existing approaches.
• Prepare and clean data for analysis, identifying and addressing data quality issues.
• Assist in the interpretation of study results and the drafting of reports or presentations.
• Support the preparation of journal publication materials based on RWE studies.

Specific Responsibilities for Senior RWE Analyst:

• Analysis Design & Leadership: Independently design and develop comprehensive analysis plans from inception for RWE studies, identifying appropriate methodologies, data sources, and analytical approaches. This role requires a "thinker" who can conceptualize and drive the analytical strategy, not just execute pre-defined requests.
• Project Management: Lead and manage RWE projects from conception to completion, ensuring timely delivery and high-quality outputs.
• Mentorship: Mentor and guide junior RWE analysts, fostering their development in real-world data analysis and research.
• Methodological Innovation: Proactively identify and evaluate new methodologies and technologies to enhance RWE capabilities.
• Strategic Input: Provide strategic input on study design, data acquisition, and evidence generation strategies.

Qualifications:

For Both RWE Analyst (Junior) & Senior RWE Analyst:

• Bachelor's or Master's degree in Epidemiology, Biostatistics, Public Health, Health Economics, Data Science, or a related quantitative field. (PhD preferred for Senior RWE Analyst).
• Demonstrable hands-on experience working with real-world healthcare data, specifically EMR, claims, and/or registry data. Clinical trial data experience will not be considered as meeting this requirement.
• Proficiency in at least one statistical programming language (e.g., R, Python, SAS, SQL).
• Strong understanding of epidemiological study designs and statistical methods relevant to RWE.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills.

Specific Qualifications for RWE Analyst (Junior):

• 4+ years of experience in real-world data analysis in a healthcare or pharmaceutical setting.
• Involvement with journal publications is highly desirable. (e.g., co-authorship, contribution to manuscript preparation).

Specific Qualifications for Senior RWE Analyst:

• 5+ years of progressive experience in real-world data analysis, with a significant portion dedicated to independent study design and leadership.
• A strong track record of journal publications is essential. (e.g., lead author, significant contribution to multiple peer-reviewed publications).
• Proven ability to translate complex analytical findings into actionable insights for diverse stakeholders.
• Experience with advanced analytical techniques (e.g., machine learning, causal inference) is a plus.

Preferred Skills (for both roles, but more emphasized for Senior):

• Experience with large healthcare databases (e.g., IQVIA, Optum, IBM MarketScan, SEER, NDHM).
• Knowledge of common data models (e.g., OMOP CDM).
• Familiarity with regulatory guidelines and best practices for RWE generation.

Role

Being a part of the Products / Software Engineering team, this member is expected to work with the existing development team. Key responsibilities of this role include MS Tech stack-based applications as per the product roadmap / project scope. Coordinate with co-developers and contribute to all phases of the development lifecycle.

Experience

Around 4 years of experience in creating and implementing Web-based applications using

C#, ASP.net, Web API, MVC, Micro Services, JavaScript and SQL Server.

Familiarity or exposure to CI / CD, Dev Ops such as Dockers, containers, Azure, Pipeline is

highly recommended

Ability to work in an Agile, fast-paced environment, and learn rapidly.

Bachelor degree in computer science, computer engineering or similar.

Familiar with object-oriented development, design patterns and specifically in .NET

Framework (C#) with a strong background in web-based development and service-oriented

Architecture.

Expert in HTML, CSS, JavaScript, JQuery, JSON.

Writing clean, readable, and easily maintainable code.

Must have knowledge of project/task management tools like Jira,

Familiarity with Version Control like Bitbucket, Git etc.

Understanding of UI, cross-browser compatibility and web standards.

Build features and applications with responsive design

Good English communication skills, written and spoken.

Able to work with minimum supervision as well as perform under pressure and meet

Deadlines.

• Health Memberships 
• Sports Subscriptions 
• Entertainment Subscriptions 
• Key Conferences and Event Passes
• Learning Stipend 
• Team Lunches and Parties 
• Travel Reimbursements 
• ESOPs