What are the responsibilities and job description for the Data Analyst position at Bright Mind Solutions LLC?
Prefer someone Local to New York
Data Analyst
12 month contract
Manhattan, NY (Hybrid)
Job Responsibilities
Analyzes performance of process activities, identifies problem areas, and presents findings in clear, concise charts, graphs, tables, or summaries. (Storytelling)
Establishes standardized methods of recording, tracking and reporting on activity.
Design, implement, automate and maintain large scale enterprise data ETL processes.
Modify existing databases and database management systems and/or direct programmers and analysts to make changes.
Test programs or databases, correct errors and make necessary modifications.
Assesses the need for process improvements based on activity trends and makes recommendations for improvements.
Conducts research on emerging products, services, approaches, and techniques in the area of data analysis.
Analyze user behavior data and service usage data to provide insights per business, product and marketing ask.
On an ongoing basis, analyze and report on service performance; develop dashboards to measure important metrics and monitor service growth.
Support data collection/analytics implementation for new feature launches or new marketing campaigns, e.g. work with marketing/product/engineering to identify and implement analytics and data requirements.
Conduct complex statistical analysis to provide strategic insights for operational decisions, GTM, content/partnership strategies e.g. user segmentation and acquisition insights based on advanced cohort analysis
Utilize data after marketing promotions to extract insights and guide planning for future campaigns/promotions
Qualifications
BS/MS in Computer Science, Statistics, Mathematics, Engineering or related field.
5 years’ experience delving through data sets and data systems that are not always clear and straightforward (navigate around data landmines)
Proficient in data querying and manipulation in SQL.
Tableau Dashboard/report Development Experience Required.
Experience with ETL Pipelines and cleaning, analyzing and visualizing medium-sized data sets.
Experience with R/Python-based data analytics/visualization tools or similar languages.
Experience in TV, mobile, and web-connected app services field preferred.
Prior experience driving growth for business units or services
Strong analytical skills and well versed in the use of data, content, and technology to draw conclusions and put results into practice.
Detail-oriented, with the ability to multi-task and prioritize multiple projects with competing deadlines
Team player with the ability to collaborate effectively across all levels of organization and with outside partners
Thrives in fast paced business environment with the ability to adapt to change
Ability to talk with stakeholders ad explain complex data into simple terms
Looking at is data up to date, anomalies, ingest publisher data feeds form outside the company to see if there’s any issues with that (using snowflake and bring into company’s system); updates – there’s a lot of bugs and anomalies – release into company software development if something is broken
Pull data from external partners – quality checking afterwards so ensure there’s no issues in the data
If you are interested or have any references please share resume at mukul@brightmindsol.com
Data Analyst
12 month contract
Manhattan, NY (Hybrid)
Job Responsibilities
Analyzes performance of process activities, identifies problem areas, and presents findings in clear, concise charts, graphs, tables, or summaries. (Storytelling)
Establishes standardized methods of recording, tracking and reporting on activity.
Design, implement, automate and maintain large scale enterprise data ETL processes.
Modify existing databases and database management systems and/or direct programmers and analysts to make changes.
Test programs or databases, correct errors and make necessary modifications.
Assesses the need for process improvements based on activity trends and makes recommendations for improvements.
Conducts research on emerging products, services, approaches, and techniques in the area of data analysis.
Analyze user behavior data and service usage data to provide insights per business, product and marketing ask.
On an ongoing basis, analyze and report on service performance; develop dashboards to measure important metrics and monitor service growth.
Support data collection/analytics implementation for new feature launches or new marketing campaigns, e.g. work with marketing/product/engineering to identify and implement analytics and data requirements.
Conduct complex statistical analysis to provide strategic insights for operational decisions, GTM, content/partnership strategies e.g. user segmentation and acquisition insights based on advanced cohort analysis
Utilize data after marketing promotions to extract insights and guide planning for future campaigns/promotions
Qualifications
BS/MS in Computer Science, Statistics, Mathematics, Engineering or related field.
5 years’ experience delving through data sets and data systems that are not always clear and straightforward (navigate around data landmines)
Proficient in data querying and manipulation in SQL.
Tableau Dashboard/report Development Experience Required.
Experience with ETL Pipelines and cleaning, analyzing and visualizing medium-sized data sets.
Experience with R/Python-based data analytics/visualization tools or similar languages.
Experience in TV, mobile, and web-connected app services field preferred.
Prior experience driving growth for business units or services
Strong analytical skills and well versed in the use of data, content, and technology to draw conclusions and put results into practice.
Detail-oriented, with the ability to multi-task and prioritize multiple projects with competing deadlines
Team player with the ability to collaborate effectively across all levels of organization and with outside partners
Thrives in fast paced business environment with the ability to adapt to change
Ability to talk with stakeholders ad explain complex data into simple terms
Looking at is data up to date, anomalies, ingest publisher data feeds form outside the company to see if there’s any issues with that (using snowflake and bring into company’s system); updates – there’s a lot of bugs and anomalies – release into company software development if something is broken
Pull data from external partners – quality checking afterwards so ensure there’s no issues in the data
If you are interested or have any references please share resume at mukul@brightmindsol.com
