ALLE N D AY
Busin ess A naly st | D ata In te g ra tio n | P ro je ct M an ag em en t | D ata –
D riv e n In sig hts
+ 13 14 93 4 416 8 alle n .da y@ m e.c o m
h ttps :/ / w ww.lin ke di n.c o m /in /m ra lle n da y3 1/ O ra n ge C ou nty , C A
S U M MARY
Analy tic a l b usin ess p ro fe ssio nal w it h m ore t h an 1 0 y e ars o f e xp erie n ce in d ata in te g ra tio n,
p ro je ct m an ag em en t, a n d c ro ss-fu n ctio nal a n aly sis . S kille d in S Q L, T ab le au , a n d P ow erB I, w it h
a r e co rd o f g en era tin g $ 15 M in a n nual r e ve n ue a n d d riv in g 2 8 p erc e n t y e ar- o ve r- y e ar s a le s
g ro w th t h ro ug h d ata -in fo rm ed s tr a te g y a n d e xe cu tio n. C urre n tly c o m ple tin g a M aste r’s in D ata
S cie n ce w it h g ra d uatio n e xp ecte d in 2 0 26. S ee kin g a T e ch nic a l B usin ess A naly st r o le w here I
c a n a p ply s tro ng a n aly tic a l t h in kin g , w ork flo w o p tim iz a tio n e xp erie n ce , a n d c o lla b ora tiv e
p ro b le m s o lv in g t o s u p port t e ch no lo g y p la n nin g , o p era tio nal t r a n sp are n cy, a n d p ro ce ss
e ffic ie n cy a cro ss m od ern d ata -d riv e n o rg an iz a tio ns.
E X P ER IE N CE
Part n ers h ip M an ag er 03 /2 0 24
C on ve rt – V ia L o s A ng ele s, C a
Cult iv a te d s tr a te g ic p artn er r e la tio nsh ip s t h at s u rfa ce d b usin ess -n eed s a n d h ow in te rn al
d ata t o ols c o uld s u p port g ro w th , e n ab lin g in fo rm ed d ecis io n-m akin g a cro ss c o nve rs io n a n d
e-c o m merc e c h an nels .
Id en tif ie d p artn er n eed s a n d d ata s c o p es t o d efin e t o ol s p ecs. P rio rit iz e d f e atu re s a n d
in te g ra tio ns f o r s ta ke h o ld er v a lu e , s c a la b ilit y , a n d f e asib ilit y .
In flu e n ce d a n d la u n ch ed in te rn al d ash b oard s a n d r e p ortin g f r a m ew ork s t o t r a ck
p erfo rm an ce K PIs ( e .g ., u sa g e, s y ste m u p tim e, d ata q ualit y ) a n d in fo rm o ng oin g it e ra tio n o f
p ro d uct f e atu re s.
K ey A cco u nt M an ag er 06/2 0 21
S w ed is h M atc h Lo s A ng ele s, C A
Deve lo p ed n atio nal a cco un t r e la tio nsh ip s w it h 7
$ 15 M in a n nual s a le s, w hile im ple m en tin g jo in t b usin ess p la n s t o d riv e v o lu m e a n d
p ro fit a b ilit y .
E ng in eere d s tr a te g ic p ro d uct la u n ch es a n d p ro m otio nal in it ia tiv e s a cro ss b oth c h ain s,
re su lt in g in a 2 8 % y e ar- o ve r- y e ar in cre ase in s a m e-s to re s a le s f o r m od ern o ra l a n d
sm oke le ss p ro d ucts .
C oord in ate d w it h c a te g ory m an ag ers a n d r e ta il o p era tio ns t o o p tim iz e p la n o g ra m
e xe cu tio n, s e cu rin g in cre m en ta l f a cin g s a n d h ig h-tr a ffic p la ce m en t in o ve r 8 0 0 lo ca tio ns.
N atio n al A cco u nt M an ag er 07/2 0 14
B rit is h A m eric an T o b acco Lo s A ng ele s, C A
Dir e cte d a m ult im illio n-d olla r W est C oast t e rrit o ry , d riv in g d oub le -d ig it v o lu m e g ro w th b y
exe cu tin g d ata -d riv e n s a le s s tr a te g ie s a cro ss c o nve n ie n ce , w ho le sa le , a n d c h ain r e ta il
p artn ers
N eg otia te d r e g io nal a g re em en ts w it h k e y a cco un ts , in cre asin g s h elf s p ace b y 3 5% a n d
se cu rin g p re m iu m p la ce m en t in o ve r 1 ,2 0 0 h ig h-v o lu m e r e ta il lo ca tio ns
C olla b ora te d w it h c ro ss-fu n ctio nal t r a d e m ark e tin g a n d r e g ula to ry t e am s t o e n su re a ll
m erc h an d is in g in it ia tiv e s w ere c o m plia n t w it h f e d era l/ s ta te g uid elin es w hile m axim iz in g
b ra n d v is ib ilit y
E D U CATIO N
M .S P re se n t
U niv e rs it y o f P hoen ix O nlin e
M BA Lo nd on, U nit e d
K in g d om
L o n don B usin ess S ch ool
B .S . St. L o uis , U nit e d S ta te s
F on tb on ne U niv e rs it y
K E Y A C H IE V EM EN TS
S ale s I n cre ase T h ro u gh
M an ag em en t
Ach ie ve d 2 8 % s a le s in cre ase u tiliz in g
ad -h o c s u p port a n d s tr a te g ic p ro je ct
m an ag em en t a cro ss m ult ip le
d ep artm en ts .
E nh an ce d P erfo rm an ce
Tra ckin g
Cre ate d p erfo rm an ce t r a ckin g
d ash b oard s r e su lt in g in im pro ve d
d ecis io n-m akin g a n d r e so urc e
a llo ca tio n f o r p ro je cts .
S KIL LS
P ro d u ct S tra te g y a n d
D eve lo p m en t
Pro d uct V is io n
E nte rp ris e T o ol D eve lo p m en t
S elf – M otiv a tio n C RM M ic ro so ft O ffic e
P re se n ta tio n S kills A gile R eact
G oog le G -s u it e P ip ed riv e
C usto m er S erv ic e P ro b le m -S olv in g
M ic ro so ft P ow er P oin t
E m otio nal In te llig en ce M ic ro so ft S uit e
In te g rit y S erv ic e C lo ud C oach in g A T S
Tim e M an ag em en t A ir ta b le S cru m
M ic ro so ft O ffic e C IS T ab le au In it ia tiv e
A tte n tio n t o D eta il I n te rp ers o nal S kills
T e ch nic al C om pete n cie s
SQ L Pyth o n P ow er B I Sale sfo rc e
D ata In te g ra tio n B asic s
D ata T ra n sfo rm atio n W ork flo w s
API F am ilia rit y
S oft S kil ls
C le ar C om mun ic a tio n P ro b le m S olv in g
C urio sit y F ast P ace d A dap ta b ilit y
D ecis io n M akin g U nd er P re ssu re
C olla b ora tiv e L e ad ers h ip
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