If so, I’d suggest you to free up analysts’ time in this case.
You should understand the main power of having analysts embedded is able to have an access to a holistic story filled with insights, rather than owning a data ATM.
A lot of my stakeholders actually come from analytical backgrounds.
With that, they see analysts as real gem — they reach out to us and always ask ‘what do you think?’.
With our daily monitoring work, deciphering a mysterious problem can easily be accelerated with analytical insights.
Don’t under-estimate your own analytical abilityAmong all the ad-hoc requests I received, quite a few were simple calculation problems or one-line queries.
I asked them why they reached out to me for this?.They said they were afraid of making mistakes.
I totally understand where the fear comes from, since one wrong digit can result in a huge difference.
Trust me, even after 2 years being an analyst, I still get nervous and question myself every single time before sharing a data point.
But that’s a fear that we all need to confront and will sooner or later build the confidence.
For example, I was asked to track the conversion rate at the first day after a new feature was launched.
After putting effort on monitoring the rate for a week, I knew there was no way to have a conversion rate lower than 70% because I already built a benchmark in mind.
As an analyst, I extremely appreciate my stakeholders who are not only comfortable on conducting analysis by themselves but also questioning my analytical work regularly.
The operation managers I worked with were always validating my data work by their ‘benchmark’ and sometimes challenge me on the rigorousness or methods.
Thanks for that, I am getting much better than I thought I’d be.
gl/images/dKLNEeThat’s few of my takeaway that I found helpful and applicable for a wider audience.
Thanks for your time on reading this.
I genuinely hope that the tips I shared can help bring a better working experience to you and your analysts.