Analyzing Foot Traffic Patterns
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$37/hr
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Data Entry Expert | Excel/Googlesheet Ninja | Google Analytics| GA4|GTM|Tag Manager Google Ads|Python Expert
London
Real Estate | Leads Generation|Logo Design |Full Stack Web and App Development | Word press Expert | Shopify | Python
Karachi
11470051652864187660793158159437430100496581051876210889716110915281115052811165826
Description
Experience Level: Expert
Estimated project duration: 1 day or less
We are seeking an analytical and detail-oriented professional with a passion for harnessing data to address critical business inquiries. The role entails analyzing diverse data sets, including but not limited to, geographical data, foot traffic analytics, and marketing insights. Responsibilities encompass:
Analyzing foot traffic patterns at our headquarters to unearth trends on a daily, weekly, and monthly basis.
Determining the employee-to-visitor ratio within our facilities.
Benchmarking the foot traffic at our headquarters against that of nearby competitors.
Identifying areas within our headquarters that see peak activity at different times of the day.
Reviewing device count data at our and our clients' headquarters over the past year to detect trends.
Investigating commuting trends to our headquarters, pinpointing origin cities, states, and countries.
Calculating the duration spent by both employees and visitors on our premises.
Monitoring our employees' post-work destinations, including eateries, gyms, coffee shops, customer locations, and other interests.
Examining the visitation trends of employees from our top 5 dealers to our headquarters.
Fostering an environment that welcomes innovative ideas and best practices to enhance our data-driven decision-making process.
The ideal candidate should have direct access to the necessary data and a background in competitive intelligence.
This position is ideal for individuals who are enthusiastic about data analysis and its real-world application to drive strategic business decisions, with a profound understanding of competitive landscapes and the capacity to independently collect and analyze pertinent data.
Candidates should confirm their ability to undertake this project, including having access to actual foot traffic data from sources like Foursquare, Placer.ai, or others. The final deliverable must encompass RAW data, including latitude and longitude coordinates for mapping some of the findings.
IF YOU DO NOT HAVE ACCESS TO FOOT TRAFFIC DATA DO NO APPLY!
Analyzing foot traffic patterns at our headquarters to unearth trends on a daily, weekly, and monthly basis.
Determining the employee-to-visitor ratio within our facilities.
Benchmarking the foot traffic at our headquarters against that of nearby competitors.
Identifying areas within our headquarters that see peak activity at different times of the day.
Reviewing device count data at our and our clients' headquarters over the past year to detect trends.
Investigating commuting trends to our headquarters, pinpointing origin cities, states, and countries.
Calculating the duration spent by both employees and visitors on our premises.
Monitoring our employees' post-work destinations, including eateries, gyms, coffee shops, customer locations, and other interests.
Examining the visitation trends of employees from our top 5 dealers to our headquarters.
Fostering an environment that welcomes innovative ideas and best practices to enhance our data-driven decision-making process.
The ideal candidate should have direct access to the necessary data and a background in competitive intelligence.
This position is ideal for individuals who are enthusiastic about data analysis and its real-world application to drive strategic business decisions, with a profound understanding of competitive landscapes and the capacity to independently collect and analyze pertinent data.
Candidates should confirm their ability to undertake this project, including having access to actual foot traffic data from sources like Foursquare, Placer.ai, or others. The final deliverable must encompass RAW data, including latitude and longitude coordinates for mapping some of the findings.
IF YOU DO NOT HAVE ACCESS TO FOOT TRAFFIC DATA DO NO APPLY!
Vijay R.
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7 May 2024
United States
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