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Microsoft is hiring an account executive and I’m really interested in the role. I have B2B sales experience in a different industry, but my skills include lead generation, prospecting, account management, negotiating, etc (all within the C Suite and other decision makers).
Would appreciate knowing if this is something I have a shot at with no tech sales experience and what I could expect for promotional opportunities and compensation.
Thanks for the help!
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What should be the designation for 6.8 yrs experience as lateral hire at HCL? HR and promised to give Senior Tech Lead but on offer letter it is just Tech Lead. When asked now they are stating like finance payroll team are saying that Senior Tech Lead can be offered only for 7.5 yrs experience. HCL Technologies
Community Builder
What is in hand salary for below one
LinkedIn is the new Facebook I see. 😖
Visual Storyteller
Not Linkedin but also cringe
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Bowl Leader
Thought this was interesting. Across 160 teams of researchers, just about all failed to make good life outcome predictions on things like GPA, evictions, layoffs, and others. Data followed 4.5k families across 15 years, with 13k features (varied over time). Haven't looked at it directly yet, but will be turning the docs and data inside out... In the meantime, authors claim this as showing the limits of ML. Oh, and it's published in PNAS, so you know there's some big publication energy there.
https://www.pnas.org/content/117/15/8398
Bowl Leader
Got messaged by a C3 . ai recruiter. Read that wlb is bad and that the interview process is absurdly long, but the Glassdoor reviews are 4.2 and can't find actual hours worked posted by anyone. How's the culture really? I'd be aiming for DS consulting, something more functional but with DS/ML concepts as my differentiator.
C3.ai, Inc.
Has anyone else begun to resent data science?
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I felt the same a while ago. Then I started to diversify my skillset in a complementary way to my data skills. There is so much we can add to our belt! It got me excited again and it started making a difference to my outputs. A few examples below, in no particular order:
1) UI/UX (design and research)
2) Data storytelling
3) Behavioural change design (nudges)
4) Colour psychology
5) Data visualisation accessibility and inclusivity
6) OKRs (for alignment to analyses/results)
7) Data monetisation and benefit analysis (so I know the impact of my outputs)
Its a marathon not a sprint. Someone wrote that on consulting the other day and it was a good reminder.
You can start anything new at 32. You aren't resetting to entry level. You are bringing a lot of experience specifically in how data is used, what is important and what is impactful to whatever you do next. Consider governance, backend work, and systems design if you want to increase your cache - and yes... you'll have to skill up to do some of it. Having a solid understanding of data and what is important to a business segment will benefit you in the long run.
I feel for you. I used to lead BI teams with lot of data engineering and bit of visuals.
Switched to consulting for Manger Data Analytics and I am super annoyed in my first project. It’s too much of use this visual instead of this, align this , align that blah.
I am in a tech firm doing analytics for my strategy team. Nothing advanced, mostly descriptive but embedded with lots of business acumen . However the Output is almost always an actionable recommendation readout for the team. I used to do analytics for 6-7 years in consulting prior to that and it was mostly reporting / visuals.
SC1- there are good and not so good parts in both but overall , I like where I am right now. Consulting was also great when I worked on non reporting projects focusing on top line improvements , synergy calculations , commercial strategy etc. some really smart people with great story telling skills. But the big reason I like my current role is due to the fact I am closer to more stakeholders from analysts all the way to business leaders giving me an opportunity to understand the industry more. You work with these folks very frequently and need to earn their trust , so less fluff and more targeted actions informed by data. My advice to you would be using the time with stakeholders very effectively to get to the root of the problem / ask. And learning core consulting skills is a great asset along with getting familiar with frameworks to think out of box from outside perspective.
Become a domain expert and use your analytics skills to make decisions. Not to give data so that someone elses can make decisions
I am a supply chain anaylitics senior manager. Most of my toolkit is used to make decisions or give two or three recommendations based on my analysis if the decisions is significant enough.
The visuals are there to tell my story. I own the data, the visuals, the analysis, the interpretation, and the outcomes.
I’m in a somewhat similar position. I love data visualization but most companies and execs want text tables. Pivoting to roles in enablement and Tableau COE work that are less dashboard development focused and more capability/strategy-aligned.
Build the visuals but on another tab give them a table they can export the data. At that point the user can choose how they want to see it.
Hey mate,
I’ve been coaching a few of my PowerBI developers to incorporate UX process in their work. For you, it will be a lot easier to give UX focus as part of your deliverable. You will have an advantage than your peers. This podcast really speaks to me. Do check it out.
https://open.spotify.com/episode/4MueJUlPeGjiIyGAcIjrVf?si=hNWnv9NlRr2LpAXwuV3DPw
Um. Are you me? Literally the same background too 😭
What do you aspire to do (skills you want to grow, etc)? I am in the same mindset as you as visuals/dashboards get old quickly (without a creative spin).
I felt the same so I switched to data management/governance/strategy
I work in EY's transaction analytics team where we provide data supported insights for understanding value drivers and identifying potential risks and opportunities. This will feed into the client's valuation model, SPA or supports the decision making for the transaction. If you have relevant data analysis and business analysis skills, I am happy to have a chat of this sounds interesting
Have you thought about a transition to decision analysis / decision support? An increasingly in-demand field across sectors that deal with complex decisions subject to uncertainty. Historically energy, pharma etc but now also essential services sectors like power and water increasingly impacted by climate change. Decision analysis / support is focussed on helping decision makers achieve a committment to action, by working through what needs to be true for the decision to be made. Data analytics is critical, but so are the processes to frame a decision, come up with the right options, communicate why preferred options are superior and ultimately bring people along the journey.