Hi! I’m Rashi, an Analytics Consultant from Chicago, working in the health insurance industry since 2021.
I joined my company as a data analyst and worked my way up to becoming an google analytics consultant. I interned for a year while I was in grad school (2020–2021) but this, was my first ever 9–5 job and it was nerve-wracking to find a place for myself in an ocean of professionals with a multitude of skills and talents.
About three years in the job, I have a good place carved out for myself, I have unique strengths and skills that I bring to the table, and a perfected-over-time 9–5 routine at workday. Each of my days at work looks very different and that is what I love about my job — no two days are the same, so I stay far away from getting bored or saturated.
Saying that my workdays look different, what I do, the tools I use, and the conversations I have in a day have a lot in common so, I can write up this blog about a day in my life as an Analytics Consultant.
Let’s peek into a Thursday of my life (usually one of my busiest days of the week)
[07:00 AM]: Rise & ShineI am a morning person and highly energetic in the morning so I can take my own sweet time to get ready, have my coffee and breakfast, and make my lunch in the morning (because I hate eating leftovers at work).
[08:30 AM]: Leave For Work & Hope To Catch The BusI have to go to the office three days a week and I do Tuesdays-Wednesdays-Thursdays from the office, making them my most productive days of the week. I try to leave for work at 8.30 AM and it only takes me 15 minutes to reach my office (a luxury of life I will not give up).
What is analytics consulting?Analytics consultants help organizations establish a data-driven strategy by transforming data into information to ensure competitive advantage, and operational excellence and explore insights.
Analytics consultants help companies in 3 areas:
Organizations are rushing to generate actionable insights to help them make smarter business decisions and differentiate themselves in a crowded marketplace.
According to a survey conducted by McKinsey Global, challenges companies face during analytics projects can be grouped into the 3 top categories regardless of industry:
The Wall