Live opening · Posted 9 days ago

Data Analyst

Dynamo Conversion Rate Optimisation · India (Remote)
Linkedin No
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At a glance

The key details from the original listing.

Posted 9 days ago
CompanyDynamo Conversion Rate Optimisation
LocationIndia (Remote)
Work modeNo
SourceLinkedin
Listed9 days ago

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About the role

Description supplied by the original job listing.

Company Description Dynamo Conversion Rate Optimisation (CRO) is an e-commerce-focused consultancy that transforms online visits into revenue through data-driven analysis and user-centric strategies. The team specializes in optimizing customer journeys to significantly improve conversion rates and maximize ROI for digital businesses. Dynamo has delivered measurable impact, including a 25% reduction in checkout abandonment and a 40% increase in overall conversion rates. The company has enhanced mobile shopping experiences, achieving a 30% uplift in mobile conversions, and implemented personalized product recommendations that increased average order value by 20% and strengthened customer loyalty.
Role Description The Data Analyst will work full time on-site at Dynamo Conversion Rate Optimisation’s office in Gwalior. This role involves collecting, cleaning, and analyzing e-commerce data to identify trends, patterns, and opportunities for conversion rate improvements. The Data Analyst will build reports and dashboards, support experiment design (such as A/B tests), and interpret results to generate actionable insights for CRO initiatives. Day-to-day tasks include collaborating with CRO specialists, UX professionals, and marketing teams to translate data findings into practical recommendations, as well as presenting analysis in a clear, accessible manner to stakeholders.
Qualifications
Candidates should possess strong Analytical Skills and proven expertise in Data Analytics.
Candidates should possess solid knowledge of Statistics and experience applying statistical methods to real-world data.
Candidates should possess capabilities in Data Modeling and working with structured and unstructured data.
Candidates should possess effective Communication skills, including the ability to explain complex findings to non-technical stakeholders.
Relevant skills such as proficiency in SQL, spreadsheets, and data visualization tools (e.g., Power BI, Tableau, or similar) are beneficial.
A degree in a quantitative field (such as Statistics, Mathematics, Economics, Computer Science, or related discipline) or equivalent practical experience is preferred.
Experience with e-commerce analytics platforms, A/B testing tools, and an understanding of CRO principles is an advantage.

Work arrangement
No

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