About Ciper Analytics:

Ciper Analytics is a research and analytics firm that helps organizations understand public opinion, voter sentiment, citizen feedback, and consumer behaviour through large-scale surveys. We combine field research, data analytics, AI-assisted insights, and visualization tools to convert complex datasets into real-time dashboards, reports, and trend intelligence. Our work helps clients identify emerging patterns, track sentiment shifts, and make faster, evidence-based decisions. We are looking for Data Analysts who enjoy working with data, spotting patterns, and converting numbers into clear, actionable insights for our growing survey analytics team.

Role Overview :

As a Data Analyst, you will work on large-scale survey datasets covering voter, citizen, and consumer opinion. The role involves statistical analysis, predictive modelling, and building dashboards, reports, and data visualizations that drive decision-making for internal teams and clients. This is a hands-on analytical role suited for someone with strong statistical fundamentals who can translate complex data into simple, clear insights.

Key Responsibilities :

- Analyze large-scale survey datasets, including voter sentiment, public opinion, citizen feedback, and consumer behavior.

- Design databases, dashboards, and reporting tools for ongoing analysis and apply statistical techniques and analytical methods to identify trends, patterns, correlations, and meaningful insights from survey data.

- Build predictive models, perform statistical analysis, and generate insights to support business decisions.

- Analyze structured and unstructured data using modern data science techniques.

- Use Python or R and relevant analytical tools to process datasets, automate workflows, and improve analytical efficiency.

- Lead and coordinate a team of analysts, allocate tasks, monitor progress, review deliverables, and ensure timely completion of projects.

- Own projects independently and collaborate with research and field teams to understand survey objectives and ensure the analysis addresses the intended research.

Required Skills & Qualifications :

- Minimum 3 years of relevant professional experience in data analytics, with demonstrated experience working on survey datasets and survey-based analysis.

- Graduate or postgraduate degree in Data Analytics, Statistics, Mathematics, Economics, Engineering, Computer Science, or a related analytical field.

- Strong analytical thinking and statistical fundamentals.

- Hands-on experience with Python or R for data analysis.

- Experience with visualization tools such as Tableau or Power BI.

- Ability to communicate insights clearly to technical and non-technical audiences.