Business Insights Anaylst at The Fountain Group
Santa Clara, CA
About the Job
Pay: $40-48/hr based on experience
Location: Hybrid in Santa Clara, CA; 3 days onsite - days are flexible
Duration: 4 months initially
Manager Notes:
Aditional Notes:
Skills:
Bachelor's degree in Business Analytics, Finance, Statistics, or related field, Masters Degree is a plus.
Location: Hybrid in Santa Clara, CA; 3 days onsite - days are flexible
Duration: 4 months initially
Manager Notes:
- We do analytics from everything at global level and product levels. We do a lot of transaction data, customer data and product data. Our stakeholders across the country.
- End to end on a lot of analytics. Building data sets and dashboards and use for ad hoc reporting.
- 3-5 yrs analytics mostly with Excel or sometimes into a doc that we’ve already analyzing in Excel. Using SQL and Tableau and Einstein.
- Someone who can do pivot tables, basic formulas, v loop ups, sum ifs.
- They should have exp working with sales data and be able to spot a formula error. As much as they will be helping us we need to make sure numbers that we are providing are accurate.
- Intent is to convert, extend first and then convert. Everything is pending budget.
Aditional Notes:
- Required? SQL and Excel / Tableau and Einstein are good to have. Tableau over Einstein.
- Cyber security industry not important, tech is great but if we cannot find it data is most important. Sales data required? Yes.
- Financial type profile? Should be fine if they have sales numbers. They should have familiarity with the term pipeline, they should know what a logo is and all these different sales metrics. Data at every company is different. Bookings and pipeline and new logos – sales cycle. They should know all this, not sure if the financial people have but if they do submit.
- 3-5 year, willing to 10+? I would want to know they are the right level, if they are doing this at that level ok, want to make sure their expectations are level set to what this job is. If they are good with this job I can see more.
- R, python mentioned as a plus, how important are these? Not necessarily looking for these skills.
- Bach degree? It’s a must. There are other fields in the degree area we can accept outside of what is listed such as economics – we would like to see a quantitative type degrees (means mathematics, “baseline skills”).
- Salesforce, some familiarity – knowing diff fields in Salesforce used across companies, how to pull basic report.
- Considering 3 rounds of interviews.
- Ppl in the role now, both are senior analysts and cater to specific product vertical and we are revamping and hoping all the analysts can work on all product verticals. They were very senior and worked with own stakeholders but bc this is more analyst level we will be doing more training for them. It’s not apples to apples comparison / backfill.
- Partner with Business Insights leaders to support reporting requirements across Global and Product Analytics verticals.
- Partner with functional subject matter experts in developing methodologies for new metrics and scale them globally as well as educate users as needed.
- Partner with peers, IT and systems teams in executing projects that enable the automation of data, dashboarding and reporting.
- Oversee operational management of current GTM/Leadership reporting processes, including the development and implementation of new data models.
- Provide insights on bookings, pipeline, customer, product, rep performance and other sales KPIs
- Respond timely to inquiries from stakeholders and end users.
Skills:
- 3-5+ years of data analytics experience
- Proficiency in data analysis tools and software (SQL, Excel, Google Big Query, SFDC).
- Experience with data visualization tools (Tableau, CRMA).
- Knowledge of statistical methods and data modeling techniques. Experience with programming languages (R, Python) is a plus
- Strong problem-solving skills and ability to interpret complex data sets. As well as experience in identifying trends, patterns, and anomalies in data.
- High level of accuracy and attention to detail in data analysis and reporting
Bachelor's degree in Business Analytics, Finance, Statistics, or related field, Masters Degree is a plus.