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Location • Remote PST
Duration • 12 Months
Pay rate • $77.51 per hour on W2
Apply expertise in quantitative analysis, data modeling, and other data science approaches to gain deep insights into customers' behavior and journey across surfaces impacting customer acquisition, engagement, and retention.
Define and prioritize which opportunities we should pursue to increase customer engagement and retention and grow the business.
Partner with Finance, Product & Marketing team to build quarterly and annual plans using data science modeling
Develop queries, analyze data sets, and build reporting dashboards accessible via Tableau or PowerBi.
Monitor weekly performance, understand the root causes of changes in metrics, and provide guidance on forecasts
Capture, synthesize, and interpret disparate quantitative data within the context of business objectives, identify trends, and explore data through segments and cohorts
Manage business performance by analyzing data using Excel, SQL, Tableau and PowerBi on an ad hoc basis to extract the required data to communicate insights.
Experience in defining a business problem, collecting required data, analyzing the results, and synthesizing a compelling argument
SQL Expertise. Hadoop expertise. Create dashboards in tableau and excel
Strong analytical skills to articulate key business and financial implications/business impact
Strong proficiency in querying and manipulating large data sets using SQL like languages, Python, R, etc.
Statistical Modeling in Microsoft Excel or Power Pivot
Experience with data visualization tools such as Tableau/Power BI
Comfortable presenting insights and findings to a broad range of stakeholders, team members, and regional partners. Ability to tell data driven stories in a clear and concise narrative
Full Time
Investment Management
$115k-150k (estimate)
02/29/2024
05/25/2024
intellswift.com
FREMONT, CA
25 - 50
2001
Private
LADDI S JHUTY
<$5M
Investment Management
Intelliswift Software provides enterprise application, collaboration, mobility and cloud computing solutions.
The following is the career advancement route for Data Analyst 4 positions, which can be used as a reference in future career path planning. As a Data Analyst 4, it can be promoted into senior positions as a Data Analyst IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Analyst 4. You can explore the career advancement for a Data Analyst 4 below and select your interested title to get hiring information.
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A data analyst also helps the business use the present data to make better business decisions and deliver better services to consumers.
12/10/2021: Lynchburg, VA
Their role will be like to work on collaborative, multidisciplinary teams with leaders where they can review and analyze data and to develop the presentation for the data consumption across the organization.
02/10/2022: Temple, TX
Data analysts work constantly with stakeholders, fellow colleagues and data suppliers, so good communication skills are essential.
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Many data analysts are required to create presentations of their findings to share with stakeholders and other key members of an organization.
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Gathered requirements, analyze data and create functional/technical specifications to functionality required by new business rules, regulations or standards change.
03/03/2022: Santa Maria, CA
Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Analyst jobs
Data analysts typically work with existing data to solve defined business problems.
02/20/2022: Laramie, WY
Data analysts rely on various tools to collect and make sense of their data.
01/17/2022: Melbourne, FL
Banks and financial firms need data analysts for financial reporting and forecasting.
03/04/2022: Akron, OH
Data analysts often work directly with more senior data team members like data scientists or data engineers.
03/02/2022: Grand Forks, ND
Predictive analysis refers to a data analyst's ability to use data, machine learning and statistical algorithms to predict the likelihood of future outcomes based on previous historical data.
02/26/2022: Las Vegas, NV
Step 3: View the best colleges and universities for Data Analyst.