Senior Data Analyst

Описание

K ir a
Shkurk o

D ata
an aly st
| BI
Analy st
| Data
Quali t y
Analy st

T bilis i,
Geo rg ia

E m ail:

h orth ek if o @ gm ail.c o m

L in ked In :

h ttp s://w ww.l in ked in .c o m /in /k ir a -s h ku rk o-7 18a1 9194/


S um mary

D ata
an aly st
with
ex perie n ce
in
fin te ch
an d
data
quality .
Skil le d
in
SQ L,
Pyth on,
Tab le au ,
an d

E xcel,
with
a str o ng
back gro und
in
re p ortin g,
dash board
dev elo pm en t,
an d
au to m ate d
data

v alid atio n.
Experie n ced
in
cle an in g,
an aly zin g,
an d
vis u aliz in g
data ,
id en tif y in g
tr e n ds,
an d

d eliv erin g
in sig hts
fo r
busin ess
te am s.


S kills

S Q L
(window
fu nctio ns,
su bquerie s,
an d
re g ula r
ex pre ssio ns),
Pyth on,
Tab le au ,
Excel,
Air f lo w ,

P ostg re S Q L,
MS
SQ L,
Gre en plu m ,
Im pala .

D ata
an aly sis ,
Data
Quality ,
Data
cle an in g,

ED A,
Rep ortin g,
DW H,
ETL,
Root
cau se
an aly sis .


P ro fe ssio n al
ex p erie n ce

D ata
Analy st

- Ak
Bars
Dig it a l
Tech nolo gie s

J u ly
2023
- Pre se n t

● Analy ze
data
acro ss
DW H
la y ers ,
id en ti f y
an om alie s,

in co nsis te n cie s,
an d
ro ot
cau se s

o f
erro rs .

● Dev elo p
au to m ate d
data
valid atio n
ch eck s
(S Q L,
Pyth on).

● Pre p are
an d
norm aliz e
data se ts ,
su pportin g
in te g ra tio n
fr o m
multip le
so urc e
sy ste m s.

● Colla b ora te
with
data
ow ners
an d
busin ess
te am s,
to
re so lv e
is su es
an d
im pro ve
data

q uality .

● Write
te ch nic al
an d
busin ess
docu m en ta tio n
fo r
ch eck s,
pip elin es,
an d
re p orts .

● Support
cu sto m er
an d
fin an cia l
data
quality
fo r
re p ortin g,
in clu din g
re g ula to ry

r e p ortin g.

● Built
more
th an
15
au to m ate d
notif ic atio n
work flo w s
an d
dozen s
of
data
quality

c h eck s;
en su re d
co nsis te n cy
acro ss
8 so urc e
sy ste m s
an d
re d uce d
pen alty -re la te d
lo sse s
fro m

i n co rre ct
data
by
15%
year
over
year.


D ata
Analy st
- Clo u dP aym en ts

N ovem ber
2021
- Ju ly
2023

● Built
busin ess
re p ortin g
fo r
fin te ch
opera tio ns
an d
HR
an aly tic s.

● Cre ate d
re p orts
an d
dash board s
in
Tab le au
by
co m bin in g
data
fro m
multi p le
so urc es.

● Use d
SQ L
fo r
data
an aly sis ,
in clu din g
window
fu ncti o ns,
su bquerie s,
an d
re g ula r

e x pre ssio ns.

● Auto m ate d
data
mart
an d
re p ort
re fre sh es
(P yth on).

● Config ure d
erro r
notif ic atio ns
to
im pro ve
th e
sta b ility
of
an aly tic al
pro ce sse s.

● Man ag ed
opera tio nal
ta sk s,
co m munic atio n
an d
in te rn al
docu m en ta tio n.

● Set
up
re p ortin g
fo r
monito rin g
fr a u dule n t
money
tr a n sfe rs
th ro ugh
th e
cash
re g is te r

p la tf o rm ,
re d uced
th e
am ount
of
lo w -q ualit y
data
by
20% ,
an d
re so lv ed
dis c re p an cie s

b etw een
busin ess
metr ic s
an d
P& L
re p ortin g.



E duca tio n

M osc o w
Sta te
Acad em y
of
Vete rin ary
Med ic in e
an d
Bio te ch nolo gy
nam ed
afte r
K.I .
Scry ab in

F acu lty
of
Vete rin ary
Med ic in e

2 014-2 019


L an gu ages

E nglis h
- B2