Job Details

Home

C2C Requirments Remote Sr. Data Analyst -No H1B at Remote, Remote, USA

http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=2040120&uid=

Must have Financial client and LinkedIn with recommendation will be preferred first

Title: Sr. Data Analyst
Location: 100% remote,
Skill: MicroStrategy, Tableau, Power BI, Looker, QuickSight, or Excel

Someone with these experience will be first preferred -Financial Transaction Data Analysis: Experience in analyzing and mining financial transaction data for insights, with an understanding of payment technologies, payment types, credit/debit card networks, and purchase authorization/settlement processes.

Highlighted are NOT for Posting

Comments:
a few notes/updates, Ideally we are seeking candidates with the following:
1. Math or Physics Degree or degree from top 100 Univ.
2. This role will be working with the Apple partnership. Seeking someone sharp.
For the contract role we are recruiting for, Senior Analyst, we are looking for an individual who, in addition to having technical data experience, also excels in communication and professional presence. The role involves close collaboration with one of our most important partner companies and will regularly interact with. Fluency in English:
The candidate must demonstrate strong fluency in English, with no difficulty being clearly understood in professional and conversational settings.
Confidence, enthusiasm, and passion for data:
o The ideal candidate should have a genuine passion for working with data whether investigating it, visualizing it, or uncovering actionable insights.
o A strong interest in the fintech industry is a plus but not a requirement.
Exceptional communication and storytelling skills:
o The ability to craft clear, compelling narratives from data that connect insights to business outcomes is critical.
o They should be able to use relatable language, metaphors, and business-friendly explanations to demystify technical concepts.
Proactive initiative and intellectual curiosity:
o They must demonstrate a drive to ask thoughtful questions to advance their knowledge of our business and data.
o A self-starter who doesnt wait for instructions but takes ownership of challenges and seeks to improve processes.
Strong interpersonal skills and relationship-building:
o The candidate should excel at building trust and rapport with stakeholders, influencing decisions, and aligning priorities without direct authority.
Resourceful problem-solving:
o We need someone who can creatively tackle challenges, find solutions independently, and identify opportunities for improvement.

seeking an experienced Senior Data Analyst for a 10-month contract to provide analytics support across various business domains.
In this role, youll develop proficiency with data infrastructure and reporting tools (AWS Redshift,
MicroStrategy) and independently lead analytics projects. Youll analyze customer transaction data, assess the impacts of marketing campaigns and product features, identify trends, and deliver clear, data-driven insights to stakeholders across business functions such as operations, product, and finance. Youll collaborate closely with internal and external teams, presenting well-supported conclusions and visualizations.
Responsibilities:
             Lead Analytics Projects: Independently gather requirements, identify relevant data, and write sophisticated SQL scripts to build data sets that enable you to generate insights through visualizations and presentations.
             Provide Analytics Support Across Business Functions: Deliver actionable insights for lifecycle marketing, business development, operations, product, and finance to drive strategic initiatives.
             Analyze Customer Transaction Behavior: Support analytics on customer transaction behavior, particularly for new product features and user adoption, to identify patterns and trends that align with business goals.
             Create Visualizations and Dashboards: Design impactful visualizations and automated dashboards to reveal key trends and measure the effectiveness of various initiatives, from marketing to product launches.
             Investigate Data Anomalies: Proactively investigate data anomalies and idiosyncrasies, uncovering underlying issues and opportunities that havent been explicitly requested.
             Exceed Partner Needs: Leverage your knowledge of the business to anticipate and exceed partner needs, using initial requirements as a foundation and building upon them with novel insights.
             Collaborate Across Teams: Work with internal and external stakeholders to define and deliver data, reports, visualizations, and dashboards critical to decision-making.
             Ensure Data Quality: Maintain high data quality through rigorous documentation and quality assurance processes.
             Drive Projects with Minimal Guidance: Take ownership and accountability for meeting contribution goals, consistently pushing projects forward independently.

Required Qualifications:
             Bachelors Degree in engineering, economics, physics, or a related quantitative discipline.
             4+ years of data analytics experience, ideally within a financial services or business analytics context.
             Advanced SQL proficiency, including expertise with window functions, common table expressions (CTEs), performance tuning, and query optimization for large data sets.
             Proven experience working with cross-functional data in marketing, product, finance, or operations.
             Experience with data visualization and dashboard creation using tools such as MicroStrategy, Tableau, Power BI, Looker, QuickSight, or Excel.
             Familiarity with statistical methods and experience using R or Python for in-depth data analysis.
             Proactive Mindset: A natural problem-solver who identifies and investigates data inconsistencies or patterns, uncovering insights that drive business impact.
             Strong communication skills, with the ability to explain complex analyses to both technical and non-technical stakeholders.
             Excellent organizational and problem-solving skills, capable of transitioning from detailed analysis to high-level strategic insights.
             Ability to influence and drive alignment through constructive dialogue without formal authority.
             Flexibility in prioritizing tasks, selecting appropriate tools, and managing multiple projects with competing priorities.
             Strong relationship-building skills and a desire to collaborate in a high-energy, team-oriented environment.

Financial Transaction Data Analysis: Experience in analyzing and mining financial transaction data for insights, with an understanding of payment technologies, payment types, credit/debit card networks, and purchase authorization/settlement processes.
             Data Science and Modeling: Experience in building and deploying predictive models (regression, classification, clustering, time series forecasting) using Python, R, or similar tools.
             Machine Learning: Familiarity with machine learning algorithms and their application in deriving insights from large datasets.
             Cross-Functional Analytics Expertise: Experience working on projects across multiple business areassuch as marketing, product, finance, and operationstranslating data into actionable business insights.

Thanks & Regards

Shalini

Sr. Technical Recruiter
SR Talent Solution INC.

--

Keywords: business intelligence rlang information technology
C2C Requirments Remote Sr. Data Analyst -No H1B
[email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=2040120&uid=

[email protected]
View All

10:17 PM 26-Dec-24

To remove this job post send "job_kill 2040120" as subject from [email protected] to [email protected]. Do not write anything extra in the subject line as this is a automatic system which will not work otherwise.

Your reply to [email protected] -

To

Subject
Message -

shalini@srtalentsolution.com wrote:
Must have Financial client and LinkedIn with recommendation will be preferred first

Title: Sr. Data Analyst 
Location: 100% remote,
Skill: MicroStrategy, Tableau, Power BI, Looker, QuickSight, or Excel

Someone with these experience will be first preferred  -Financial Transaction Data Analysis: Experience in analyzing and mining financial transaction data for insights, with an understanding of payment technologies, payment types, credit/debit card networks, and purchase authorization/settlement processes.

Highlighted are NOT for Posting

Comments:
 a few notes/updates, Ideally we are seeking candidates with the following:
1. Math or Physics Degree or degree from top 100 Univ.
2. This role will be working with the Apple partnership. Seeking someone sharp.
For the contract role we are recruiting for, Senior Analyst, we are looking for an individual who, in addition to having technical data experience, also excels in communication and professional presence. The role involves close collaboration with one of our most important partner companies and will regularly interact with. Fluency in English:
The candidate must demonstrate strong fluency in English, with no difficulty being clearly understood in professional and conversational settings.
Confidence, enthusiasm, and passion for data:
o The ideal candidate should have a genuine passion for working with data whether investigating it, visualizing it, or uncovering actionable insights.
o A strong interest in the fintech industry is a plus but not a requirement.
Exceptional communication and storytelling skills:
o The ability to craft clear, compelling narratives from data that connect insights to business outcomes is critical.
o They should be able to use relatable language, metaphors, and business-friendly explanations to demystify technical concepts.
Proactive initiative and intellectual curiosity:
o They must demonstrate a drive to ask thoughtful questions to advance their knowledge of our business and data.
o A self-starter who doesnt wait for instructions but takes ownership of challenges and seeks to improve processes.
Strong interpersonal skills and relationship-building:
o The candidate should excel at building trust and rapport with stakeholders, influencing decisions, and aligning priorities without direct authority.
Resourceful problem-solving:
o We need someone who can creatively tackle challenges, find solutions independently, and identify opportunities for improvement.

seeking an experienced Senior Data Analyst for a 10-month contract to provide analytics support across various business domains.
In this role, youll develop proficiency with data infrastructure and reporting tools (AWS Redshift, 
MicroStrategy) and independently lead analytics projects. Youll analyze customer transaction data, assess the impacts of marketing campaigns and product features, identify trends, and deliver clear, data-driven insights to stakeholders across business functions such as operations, product, and finance. Youll collaborate closely with internal and external teams, presenting well-supported conclusions and visualizations.
Responsibilities:
             Lead Analytics Projects: Independently gather requirements, identify relevant data, and write sophisticated SQL scripts to build data sets that enable you to generate insights through visualizations and presentations.
             Provide Analytics Support Across Business Functions: Deliver actionable insights for lifecycle marketing, business development, operations, product, and finance to drive strategic initiatives.
             Analyze Customer Transaction Behavior: Support analytics on customer transaction behavior, particularly for new product features and user adoption, to identify patterns and trends that align with business goals.
             Create Visualizations and Dashboards: Design impactful visualizations and automated dashboards to reveal key trends and measure the effectiveness of various initiatives, from marketing to product launches.
             Investigate Data Anomalies: Proactively investigate data anomalies and idiosyncrasies, uncovering underlying issues and opportunities that havent been explicitly requested.
             Exceed Partner Needs: Leverage your knowledge of the business to anticipate and exceed partner needs, using initial requirements as a foundation and building upon them with novel insights.
             Collaborate Across Teams: Work with internal and external stakeholders to define and deliver data, reports, visualizations, and dashboards critical to decision-making.
             Ensure Data Quality: Maintain high data quality through rigorous documentation and quality assurance processes.
             Drive Projects with Minimal Guidance: Take ownership and accountability for meeting contribution goals, consistently pushing projects forward independently.

Required Qualifications:
             Bachelors Degree in engineering, economics, physics, or a related quantitative discipline.
             4+ years of data analytics experience, ideally within a financial services or business analytics context.
             Advanced SQL proficiency, including expertise with window functions, common table expressions (CTEs), performance tuning, and query optimization for large data sets.
             Proven experience working with cross-functional data in marketing, product, finance, or operations.
             Experience with data visualization and dashboard creation using tools such as MicroStrategy, Tableau, Power BI, Looker, QuickSight, or Excel.
             Familiarity with statistical methods and experience using R or Python for in-depth data analysis.
             Proactive Mindset: A natural problem-solver who identifies and investigates data inconsistencies or patterns, uncovering insights that drive business impact.
             Strong communication skills, with the ability to explain complex analyses to both technical and non-technical stakeholders.
             Excellent organizational and problem-solving skills, capable of transitioning from detailed analysis to high-level strategic insights.
             Ability to influence and drive alignment through constructive dialogue without formal authority.
             Flexibility in prioritizing tasks, selecting appropriate tools, and managing multiple projects with competing priorities.
             Strong relationship-building skills and a desire to collaborate in a high-energy, team-oriented environment.

Financial Transaction Data Analysis: Experience in analyzing and mining financial transaction data for insights, with an understanding of payment technologies, payment types, credit/debit card networks, and purchase authorization/settlement processes.
             Data Science and Modeling: Experience in building and deploying predictive models (regression, classification, clustering, time series forecasting) using Python, R, or similar tools.
             Machine Learning: Familiarity with machine learning algorithms and their application in deriving insights from large datasets.
             Cross-Functional Analytics Expertise: Experience working on projects across multiple business areassuch as marketing, product, finance, and operationstranslating data into actionable business insights.

Thanks & Regards

Shalini

Sr. Technical Recruiter
SR Talent Solution INC.

Keywords: business intelligence rlang information technology 
C2C Requirments Remote Sr. Data Analyst -No H1B
shalini@srtalentsolution.com

Your email id:

Captcha Image:

Captcha Code:

Pages not loading, taking too much time to load, server timeout or unavailable, or any other issues please contact admin at [email protected]

Time Taken: 20

Location: Remote, Remote